Pandas Profiling Report

Dataset statistics

Number of variables	60
Number of observations	619
Missing cells	5496
Missing cells (%)	14.8%
Duplicate rows	39
Duplicate rows (%)	6.3%
Total size in memory	847.7 KiB
Average record size in memory	1.4 KiB

Variable types

NUM	27
BOOL	18
CAT	14
URL	1

Warnings

`winner_Bundesliga` has constant value "619"	Constant
`winner_C3` has constant value "619"	Constant
`finalist_C3` has constant value "619"	Constant
`winner_UCL` has constant value "619"	Constant
`finalist_UCL` has constant value "619"	Constant
`winner_Club WC` has constant value "619"	Constant
`finalist_Club WC` has constant value "619"	Constant
`winner_Liga` has constant value "619"	Constant
`winner_Ligue 1` has constant value "619"	Constant
`winner_PL` has constant value "619"	Constant
`winner_Serie A` has constant value "619"	Constant
`finalist_WC` has constant value "619"	Constant
Dataset has 39 (6.3%) duplicate rows	Duplicates
`Squad` has a high cardinality: 51 distinct values	High cardinality
`Player` has a high cardinality: 221 distinct values	High cardinality
`BO_JK` has a high cardinality: 569 distinct values	High cardinality
`Nom` has a high cardinality: 221 distinct values	High cardinality
`Club` has a high cardinality: 138 distinct values	High cardinality
`%` has a high cardinality: 317 distinct values	High cardinality
`UCL_JK` has a high cardinality: 304 distinct values	High cardinality
`Squad_JK` has a high cardinality: 304 distinct values	High cardinality
`Nation_JK` has a high cardinality: 282 distinct values	High cardinality
`Starts_Playing` is highly correlated with `MP_Playing` and 2 other fields	High correlation
`MP_Playing` is highly correlated with `Starts_Playing` and 2 other fields	High correlation
`Min_Playing` is highly correlated with `MP_Playing` and 2 other fields	High correlation
`Mins_Per_90_Playing` is highly correlated with `MP_Playing` and 2 other fields	High correlation
`G_minus_PK` is highly correlated with `Gls` and 7 other fields	High correlation
`Gls` is highly correlated with `G_minus_PK` and 7 other fields	High correlation
`PKatt` is highly correlated with `PK`	High correlation
`PK` is highly correlated with `PKatt`	High correlation
`Gls_Per` is highly correlated with `Gls` and 11 other fields	High correlation
`Ast_Per` is highly correlated with `Ast`	High correlation
`Ast` is highly correlated with `Ast_Per`	High correlation
`G+A_Per` is highly correlated with `Gls_Per` and 7 other fields	High correlation
`G_minus_PK_Per` is highly correlated with `Gls` and 11 other fields	High correlation
`G+A_minus_PK_Per` is highly correlated with `Gls_Per` and 7 other fields	High correlation
`xG_Expected` is highly correlated with `Gls` and 8 other fields	High correlation
`npxG_Expected` is highly correlated with `Gls` and 8 other fields	High correlation
`npxG+xA_Expected` is highly correlated with `Gls` and 11 other fields	High correlation
`xG_Per` is highly correlated with `Gls` and 11 other fields	High correlation
`xA_Per` is highly correlated with `xA_Expected`	High correlation
`xA_Expected` is highly correlated with `xA_Per`	High correlation
`xG+xA_Per` is highly correlated with `Gls_Per` and 9 other fields	High correlation
`npxG_Per` is highly correlated with `Gls` and 11 other fields	High correlation
`npxG+xA_Per` is highly correlated with `Gls_Per` and 7 other fields	High correlation
`Pays` is highly correlated with `Nation`	High correlation
`Nation` is highly correlated with `Pays`	High correlation
`Ast` has 80 (12.9%) missing values	Missing
`PKatt` has 78 (12.6%) missing values	Missing
`Ast_Per` has 80 (12.9%) missing values	Missing
`G+A_Per` has 80 (12.9%) missing values	Missing
`G+A_minus_PK_Per` has 80 (12.9%) missing values	Missing
`xG_Expected` has 565 (91.3%) missing values	Missing
`npxG_Expected` has 565 (91.3%) missing values	Missing
`xA_Expected` has 565 (91.3%) missing values	Missing
`npxG+xA_Expected` has 565 (91.3%) missing values	Missing
`xG_Per` has 565 (91.3%) missing values	Missing
`xA_Per` has 565 (91.3%) missing values	Missing
`xG+xA_Per` has 565 (91.3%) missing values	Missing
`npxG_Per` has 565 (91.3%) missing values	Missing
`npxG+xA_Per` has 565 (91.3%) missing values	Missing
`%` has 13 (2.1%) missing values	Missing
`BO_JK` is uniformly distributed	Uniform
`Gls` has 88 (14.2%) zeros	Zeros
`Ast` has 83 (13.4%) zeros	Zeros
`G_minus_PK` has 89 (14.4%) zeros	Zeros
`PK` has 371 (59.9%) zeros	Zeros
`PKatt` has 296 (47.8%) zeros	Zeros
`CrdY` has 64 (10.3%) zeros	Zeros
`Gls_Per` has 88 (14.2%) zeros	Zeros
`Ast_Per` has 83 (13.4%) zeros	Zeros
`G+A_Per` has 61 (9.9%) zeros	Zeros
`G_minus_PK_Per` has 89 (14.4%) zeros	Zeros
`G+A_minus_PK_Per` has 61 (9.9%) zeros	Zeros
`xG_Expected` has 7 (1.1%) zeros	Zeros
`npxG_Expected` has 7 (1.1%) zeros	Zeros
`xA_Expected` has 8 (1.3%) zeros	Zeros
`npxG+xA_Expected` has 7 (1.1%) zeros	Zeros
`xG_Per` has 7 (1.1%) zeros	Zeros
`xA_Per` has 9 (1.5%) zeros	Zeros
`xG+xA_Per` has 7 (1.1%) zeros	Zeros
`npxG_Per` has 7 (1.1%) zeros	Zeros
`npxG+xA_Per` has 7 (1.1%) zeros	Zeros

Reproduction

Analysis started	2021-11-29 17:40:18.658991
Analysis finished	2021-11-29 17:41:48.845811
Duration	1 minute and 30.19 seconds
Software version	pandas-profiling v2.9.0
Download configuration	config.yaml

Season_End_Year
Real number (ℝ_≥0)

Distinct	24
Distinct (%)	3.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2007.759289
Minimum	1996
Maximum	2019
Zeros	0
Zeros (%)	0.0%
Memory size	5.0 KiB

Quantile statistics

Minimum	1996
5-th percentile	1997
Q1	2001
median	2008
Q3	2013
95-th percentile	2018
Maximum	2019
Range	23
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	7.033798903
Coefficient of variation (CV)	0.003503307862
Kurtosis	-1.242561137
Mean	2007.759289
Median Absolute Deviation (MAD)	6
Skewness	-0.09308010898
Sum	1242803
Variance	49.474327
Monotocity	Increasing

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
2013	39	6.3%
2012	39	6.3%
1997	35	5.7%
2018	29	4.7%
2017	29	4.7%
2016	28	4.5%
1999	27	4.4%
2007	27	4.4%
2009	26	4.2%
1998	26	4.2%
2019	25	4.0%
2006	25	4.0%
2000	24	3.9%
2008	23	3.7%
2001	23	3.7%
2010	22	3.6%
2011	22	3.6%
2004	22	3.6%
2014	22	3.6%
2002	22	3.6%
1996	22	3.6%
2005	21	3.4%
2015	21	3.4%
2003	20	3.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1996	22	3.6%
1997	35	5.7%
1998	26	4.2%
1999	27	4.4%
2000	24	3.9%
2001	23	3.7%
2002	22	3.6%
2003	20	3.2%
2004	22	3.6%
2005	21	3.4%

Value	Count	Frequency (%)
2019	25	4.0%
2018	29	4.7%
2017	29	4.7%
2016	28	4.5%
2015	21	3.4%
2014	22	3.6%
2013	39	6.3%
2012	39	6.3%
2011	22	3.6%
2010	22	3.6%

Squad
Categorical

HIGH CARDINALITY

Distinct	51
Distinct (%)	8.2%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

Real Madrid	86
Barcelona	79
Bayern Munich	56
Juventus	46
Manchester Utd	39
Other values (46)	313

Common Values
Overview

Value	Count	Frequency (%)
Real Madrid	86	13.9%
Barcelona	79	12.8%
Bayern Munich	56	9.0%
Juventus	46	7.4%
Manchester Utd	39	6.3%
Chelsea	32	5.2%
Liverpool	28	4.5%
Milan	27	4.4%
Arsenal	26	4.2%
Manchester City	21	3.4%
Atlético Madrid	21	3.4%
Inter	13	2.1%
Paris S-G	12	1.9%
Dortmund	11	1.8%
Valencia	10	1.6%
Monaco	10	1.6%
Tottenham	10	1.6%
Fiorentina	9	1.5%
Lazio	8	1.3%
Roma	8	1.3%
Parma	7	1.1%
Napoli	5	0.8%
Sevilla	5	0.8%
Werder Bremen	4	0.6%
Marseille	4	0.6%
Other values (26)	42	6.8%

Frequencies of value counts

Unique

Unique	14 ?
Unique (%)	2.3%

Histogram of lengths of the category

Length

Max length	19
Median length	9
Mean length	9.625201939
Min length	4

Overview of Unicode Properties

Unique unicode characters	52
Unique unicode categories	5 ?
Unique unicode scripts	2 ?
Unique unicode blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
a	693	11.6%
e	621	10.4%
r	458	7.7%
n	450	7.6%
l	356	6.0%
i	339	5.7%
t	282	4.7%
d	277	4.6%
M	266	4.5%
	253	4.2%
c	246	4.1%
o	245	4.1%
s	198	3.3%
u	176	3.0%
h	162	2.7%
B	146	2.5%
R	95	1.6%
v	84	1.4%
y	81	1.4%
C	60	1.0%
L	49	0.8%
A	48	0.8%
J	46	0.8%
U	43	0.7%
m	41	0.7%
Other values (27)	243	4.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4805	80.6%
Uppercase Letter	884	14.8%
Space Separator	253	4.2%
Dash Punctuation	12	0.2%
Decimal Number	4	0.1%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
M	266	30.1%
B	146	16.5%
R	95	10.7%
C	60	6.8%
L	49	5.5%
A	48	5.4%
J	46	5.2%
U	43	4.9%
S	21	2.4%
P	19	2.1%
I	15	1.7%
V	13	1.5%
D	12	1.4%
G	12	1.4%
F	10	1.1%
T	10	1.1%
W	8	0.9%
N	6	0.7%
E	2	0.2%
H	2	0.2%
K	1	0.1%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
a	693	14.4%
e	621	12.9%
r	458	9.5%
n	450	9.4%
l	356	7.4%
i	339	7.1%
t	282	5.9%
d	277	5.8%
c	246	5.1%
o	245	5.1%
s	198	4.1%
u	176	3.7%
h	162	3.4%
v	84	1.7%
y	81	1.7%
m	41	0.9%
p	34	0.7%
é	21	0.4%
z	10	0.2%
k	8	0.2%
b	6	0.1%
g	5	0.1%
f	4	0.1%
ñ	4	0.1%
x	2	< 0.1%
Other values (2)	2	< 0.1%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	253	100.0%

Most frequent Dash Punctuation characters

Value	Count	Frequency (%)
-	12	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	2	50.0%
4	2	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5689	95.5%
Common	269	4.5%

Most frequent Latin characters

Value	Count	Frequency (%)
a	693	12.2%
e	621	10.9%
r	458	8.1%
n	450	7.9%
l	356	6.3%
i	339	6.0%
t	282	5.0%
d	277	4.9%
M	266	4.7%
c	246	4.3%
o	245	4.3%
s	198	3.5%
u	176	3.1%
h	162	2.8%
B	146	2.6%
R	95	1.7%
v	84	1.5%
y	81	1.4%
C	60	1.1%
L	49	0.9%
A	48	0.8%
J	46	0.8%
U	43	0.8%
m	41	0.7%
p	34	0.6%
Other values (23)	193	3.4%

Most frequent Common characters

Value	Count	Frequency (%)
	253	94.1%
-	12	4.5%
0	2	0.7%
4	2	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5932	99.6%
None	26	0.4%

Most frequent ASCII characters

Value	Count	Frequency (%)
a	693	11.7%
e	621	10.5%
r	458	7.7%
n	450	7.6%
l	356	6.0%
i	339	5.7%
t	282	4.8%
d	277	4.7%
M	266	4.5%
	253	4.3%
c	246	4.1%
o	245	4.1%
s	198	3.3%
u	176	3.0%
h	162	2.7%
B	146	2.5%
R	95	1.6%
v	84	1.4%
y	81	1.4%
C	60	1.0%
L	49	0.8%
A	48	0.8%
J	46	0.8%
U	43	0.7%
m	41	0.7%
Other values (24)	217	3.7%

Most frequent None characters

Value	Count	Frequency (%)
é	21	80.8%
ñ	4	15.4%
ö	1	3.8%

Comp
Categorical

Distinct	6
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

La Liga	209
Premier League	165
Serie A	130
Bundesliga	83
Ligue 1	22

Value	Count	Frequency (%)
La Liga	209	33.8%
Premier League	165	26.7%
Serie A	130	21.0%
Bundesliga	83	13.4%
Ligue 1	22	3.6%
Division 1	10	1.6%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	14
Median length	7
Mean length	9.316639742
Min length	7

Overview of Unicode Properties

Unique unicode characters	21
Unique unicode categories	4 ?
Unique unicode scripts	2 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
e	1025	17.8%
a	666	11.5%
i	639	11.1%
L	605	10.5%
	536	9.3%
g	479	8.3%
r	460	8.0%
u	270	4.7%
P	165	2.9%
m	165	2.9%
S	130	2.3%
A	130	2.3%
n	93	1.6%
s	93	1.6%
B	83	1.4%
d	83	1.4%
l	83	1.4%
1	32	0.6%
D	10	0.2%
v	10	0.2%
o	10	0.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4076	70.7%
Uppercase Letter	1123	19.5%
Space Separator	536	9.3%
Decimal Number	32	0.6%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
L	605	53.9%
P	165	14.7%
S	130	11.6%
A	130	11.6%
B	83	7.4%
D	10	0.9%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
e	1025	25.1%
a	666	16.3%
i	639	15.7%
g	479	11.8%
r	460	11.3%
u	270	6.6%
m	165	4.0%
n	93	2.3%
s	93	2.3%
d	83	2.0%
l	83	2.0%
v	10	0.2%
o	10	0.2%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	536	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
1	32	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5199	90.2%
Common	568	9.8%

Most frequent Latin characters

Value	Count	Frequency (%)
e	1025	19.7%
a	666	12.8%
i	639	12.3%
L	605	11.6%
g	479	9.2%
r	460	8.8%
u	270	5.2%
P	165	3.2%
m	165	3.2%
S	130	2.5%
A	130	2.5%
n	93	1.8%
s	93	1.8%
B	83	1.6%
d	83	1.6%
l	83	1.6%
D	10	0.2%
v	10	0.2%
o	10	0.2%

Most frequent Common characters

Value	Count	Frequency (%)
	536	94.4%
1	32	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5767	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
e	1025	17.8%
a	666	11.5%
i	639	11.1%
L	605	10.5%
	536	9.3%
g	479	8.3%
r	460	8.0%
u	270	4.7%
P	165	2.9%
m	165	2.9%
S	130	2.3%
A	130	2.3%
n	93	1.6%
s	93	1.6%
B	83	1.4%
d	83	1.4%
l	83	1.4%
1	32	0.6%
D	10	0.2%
v	10	0.2%
o	10	0.2%

Player
Categorical

HIGH CARDINALITY

Distinct	221
Distinct (%)	35.7%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

Cristiano Ronaldo	16
Lionel Messi	14
Zinédine Zidane	11
Thierry Henry	9
Gianluigi Buffon	9
Other values (216)	560

Common Values
Overview

Value	Count	Frequency (%)
Cristiano Ronaldo	16	2.6%
Lionel Messi	14	2.3%
Zinédine Zidane	11	1.8%
Thierry Henry	9	1.5%
Gianluigi Buffon	9	1.5%
Didier Drogba	9	1.5%
Andrés Iniesta	9	1.5%
Karim Benzema	8	1.3%
Xavi	8	1.3%
Sergio Agüero	8	1.3%
Samuel Eto'o	8	1.3%
Sergio Ramos	7	1.1%
Manuel Neuer	7	1.1%
Yaya Touré	7	1.1%
Luis Suárez	7	1.1%
Luís Figo	7	1.1%
Eden Hazard	7	1.1%
Thomas Müller	7	1.1%
Kaká	7	1.1%
Wayne Rooney	7	1.1%
Iker Casillas	7	1.1%
David Beckham	6	1.0%
Rivaldo	6	1.0%
Alessandro Del Piero	6	1.0%
Andrea Pirlo	6	1.0%
Other values (196)	416	67.2%

Frequencies of value counts

Unique

Unique	91 ?
Unique (%)	14.7%

Histogram of lengths of the category

Length

Max length	25
Median length	13
Mean length	12.75767367
Min length	3

Overview of Unicode Properties

Unique unicode characters	69
Unique unicode categories	5 ?
Unique unicode scripts	2 ?
Unique unicode blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
a	767	9.7%
e	677	8.6%
i	621	7.9%
	589	7.5%
r	530	6.7%
n	529	6.7%
o	521	6.6%
l	358	4.5%
s	300	3.8%
d	238	3.0%
u	190	2.4%
t	188	2.4%
m	124	1.6%
h	122	1.5%
g	120	1.5%
R	120	1.5%
y	102	1.3%
c	100	1.3%
b	97	1.2%
M	95	1.2%
D	90	1.1%
v	90	1.1%
S	80	1.0%
B	77	1.0%
A	76	1.0%
Other values (44)	1096	13.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6092	77.1%
Uppercase Letter	1200	15.2%
Space Separator	589	7.5%
Other Punctuation	10	0.1%
Dash Punctuation	6	0.1%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
R	120	10.0%
M	95	7.9%
D	90	7.5%
S	80	6.7%
B	77	6.4%
A	76	6.3%
C	66	5.5%
L	66	5.5%
P	63	5.2%
G	60	5.0%
F	56	4.7%
K	53	4.4%
T	51	4.2%
E	38	3.2%
H	29	2.4%
N	27	2.2%
J	26	2.2%
Z	26	2.2%
I	22	1.8%
V	21	1.8%
O	13	1.1%
X	12	1.0%
Y	11	0.9%
W	11	0.9%
Ö	6	0.5%
Other values (3)	5	0.4%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
a	767	12.6%
e	677	11.1%
i	621	10.2%
r	530	8.7%
n	529	8.7%
o	521	8.6%
l	358	5.9%
s	300	4.9%
d	238	3.9%
u	190	3.1%
t	188	3.1%
m	124	2.0%
h	122	2.0%
g	120	2.0%
y	102	1.7%
c	100	1.6%
b	97	1.6%
v	90	1.5%
k	72	1.2%
z	59	1.0%
é	55	0.9%
p	48	0.8%
f	42	0.7%
w	26	0.4%
á	26	0.4%
Other values (13)	90	1.5%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	589	100.0%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
'	10	100.0%

Most frequent Dash Punctuation characters

Value	Count	Frequency (%)
-	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7292	92.3%
Common	605	7.7%

Most frequent Latin characters

Value	Count	Frequency (%)
a	767	10.5%
e	677	9.3%
i	621	8.5%
r	530	7.3%
n	529	7.3%
o	521	7.1%
l	358	4.9%
s	300	4.1%
d	238	3.3%
u	190	2.6%
t	188	2.6%
m	124	1.7%
h	122	1.7%
g	120	1.6%
R	120	1.6%
y	102	1.4%
c	100	1.4%
b	97	1.3%
M	95	1.3%
D	90	1.2%
v	90	1.2%
S	80	1.1%
B	77	1.1%
A	76	1.0%
k	72	1.0%
Other values (41)	1008	13.8%

Most frequent Common characters

Value	Count	Frequency (%)
	589	97.4%
'	10	1.7%
-	6	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7743	98.0%
None	154	2.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
a	767	9.9%
e	677	8.7%
i	621	8.0%
	589	7.6%
r	530	6.8%
n	529	6.8%
o	521	6.7%
l	358	4.6%
s	300	3.9%
d	238	3.1%
u	190	2.5%
t	188	2.4%
m	124	1.6%
h	122	1.6%
g	120	1.5%
R	120	1.5%
y	102	1.3%
c	100	1.3%
b	97	1.3%
M	95	1.2%
D	90	1.2%
v	90	1.2%
S	80	1.0%
B	77	1.0%
A	76	1.0%
Other values (28)	942	12.2%

Most frequent None characters

Value	Count	Frequency (%)
é	55	35.7%
á	26	16.9%
ü	18	11.7%
í	15	9.7%
ú	10	6.5%
ó	6	3.9%
Ö	6	3.9%
à	4	2.6%
ö	3	1.9%
Š	2	1.3%
ä	2	1.3%
É	2	1.3%
ž	2	1.3%
š	1	0.6%
Á	1	0.6%
ë	1	0.6%

Nation
Categorical

HIGH CORRELATION

Distinct	39
Distinct (%)	6.3%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

FRA	79
ESP	76
GER	65
BRA	63
ITA	58
Other values (34)	278

Common Values
Overview

Value	Count	Frequency (%)
FRA	79	12.8%
ESP	76	12.3%
GER	65	10.5%
BRA	63	10.2%
ITA	58	9.4%
ARG	44	7.1%
ENG	41	6.6%
NED	34	5.5%
POR	30	4.8%
BEL	16	2.6%
CIV	16	2.6%
URU	16	2.6%
WAL	10	1.6%
CMR	8	1.3%
COL	7	1.1%
POL	6	1.0%
CZE	5	0.8%
SEN	5	0.8%
CHI	4	0.6%
DEN	3	0.5%
GHA	3	0.5%
GAB	3	0.5%
NGA	3	0.5%
GRE	2	0.3%
BUL	2	0.3%
Other values (14)	20	3.2%

Frequencies of value counts

Unique

Unique	8 ?
Unique (%)	1.3%

Histogram of lengths of the category

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Overview of Unicode Properties

Unique unicode characters	23
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
R	316	17.0%
A	265	14.3%
E	249	13.4%
G	166	8.9%
P	112	6.0%
N	89	4.8%
B	88	4.7%
I	85	4.6%
S	84	4.5%
F	80	4.3%
T	60	3.2%
O	48	2.6%
L	47	2.5%
C	42	2.3%
D	37	2.0%
U	35	1.9%
V	18	1.0%
W	10	0.5%
H	9	0.5%
M	9	0.5%
Z	5	0.3%
Y	2	0.1%
K	1	0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1857	100.0%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
R	316	17.0%
A	265	14.3%
E	249	13.4%
G	166	8.9%
P	112	6.0%
N	89	4.8%
B	88	4.7%
I	85	4.6%
S	84	4.5%
F	80	4.3%
T	60	3.2%
O	48	2.6%
L	47	2.5%
C	42	2.3%
D	37	2.0%
U	35	1.9%
V	18	1.0%
W	10	0.5%
H	9	0.5%
M	9	0.5%
Z	5	0.3%
Y	2	0.1%
K	1	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1857	100.0%

Most frequent Latin characters

Value	Count	Frequency (%)
R	316	17.0%
A	265	14.3%
E	249	13.4%
G	166	8.9%
P	112	6.0%
N	89	4.8%
B	88	4.7%
I	85	4.6%
S	84	4.5%
F	80	4.3%
T	60	3.2%
O	48	2.6%
L	47	2.5%
C	42	2.3%
D	37	2.0%
U	35	1.9%
V	18	1.0%
W	10	0.5%
H	9	0.5%
M	9	0.5%
Z	5	0.3%
Y	2	0.1%
K	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1857	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
R	316	17.0%
A	265	14.3%
E	249	13.4%
G	166	8.9%
P	112	6.0%
N	89	4.8%
B	88	4.7%
I	85	4.6%
S	84	4.5%
F	80	4.3%
T	60	3.2%
O	48	2.6%
L	47	2.5%
C	42	2.3%
D	37	2.0%
U	35	1.9%
V	18	1.0%
W	10	0.5%
H	9	0.5%
M	9	0.5%
Z	5	0.3%
Y	2	0.1%
K	1	0.1%

Pos
Categorical

Distinct	7
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

FW	182
FW,MF	144
MF	139
DF	61
GK	52
Other values (2)	41

Value	Count	Frequency (%)
FW	182	29.4%
FW,MF	144	23.3%
MF	139	22.5%
DF	61	9.9%
GK	52	8.4%
DF,MF	36	5.8%
MF,FW	5	0.8%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	5
Median length	2
Mean length	2.896607431
Min length	2

Overview of Unicode Properties

Unique unicode characters	7
Unique unicode categories	2 ?
Unique unicode scripts	2 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
F	752	41.9%
W	331	18.5%
M	324	18.1%
,	185	10.3%
D	97	5.4%
G	52	2.9%
K	52	2.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1608	89.7%
Other Punctuation	185	10.3%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
F	752	46.8%
W	331	20.6%
M	324	20.1%
D	97	6.0%
G	52	3.2%
K	52	3.2%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
,	185	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1608	89.7%
Common	185	10.3%

Most frequent Latin characters

Value	Count	Frequency (%)
F	752	46.8%
W	331	20.6%
M	324	20.1%
D	97	6.0%
G	52	3.2%
K	52	3.2%

Most frequent Common characters

Value	Count	Frequency (%)
,	185	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1793	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
F	752	41.9%
W	331	18.5%
M	324	18.1%
,	185	10.3%
D	97	5.4%
G	52	2.9%
K	52	2.9%

Age
Real number (ℝ_≥0)

Distinct	22
Distinct (%)	3.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	25.98707593
Minimum	17
Maximum	38
Zeros	0
Zeros (%)	0.0%
Memory size	5.0 KiB

Quantile statistics

Minimum	17
5-th percentile	20
Q1	23
median	26
Q3	28
95-th percentile	32
Maximum	38
Range	21
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.561275136
Coefficient of variation (CV)	0.1370402405
Kurtosis	0.1140199329
Mean	25.98707593
Median Absolute Deviation (MAD)	2
Skewness	0.2092496384
Sum	16086
Variance	12.68268059
Monotocity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
25	71	11.5%
27	70	11.3%
26	63	10.2%
23	60	9.7%
28	57	9.2%
24	53	8.6%
29	44	7.1%
30	41	6.6%
22	34	5.5%
21	31	5.0%
31	27	4.4%
20	17	2.7%
32	12	1.9%
33	11	1.8%
19	9	1.5%
18	5	0.8%
17	3	0.5%
34	3	0.5%
37	2	0.3%
35	2	0.3%
36	2	0.3%
38	2	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
17	3	0.5%
18	5	0.8%
19	9	1.5%
20	17	2.7%
21	31	5.0%
22	34	5.5%
23	60	9.7%
24	53	8.6%
25	71	11.5%
26	63	10.2%

Value	Count	Frequency (%)
38	2	0.3%
37	2	0.3%
36	2	0.3%
35	2	0.3%
34	3	0.5%
33	11	1.8%
32	12	1.9%
31	27	4.4%
30	41	6.6%
29	44	7.1%

Born
Real number (ℝ_≥0)

Distinct	35
Distinct (%)	5.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1980.458805
Minimum	1961
Maximum	1998
Zeros	0
Zeros (%)	0.0%
Memory size	5.0 KiB

Quantile statistics

Minimum	1961
5-th percentile	1968
Q1	1975
median	1981
Q3	1987
95-th percentile	1992
Maximum	1998
Range	37
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	7.660230116
Coefficient of variation (CV)	0.00386790682
Kurtosis	-0.8118916011
Mean	1980.458805
Median Absolute Deviation (MAD)	6
Skewness	-0.1611452585
Sum	1225904
Variance	58.67912543
Monotocity	Not monotonic

Histogram with fixed size bins (bins=35)

Value	Count	Frequency (%)
1987	48	7.8%
1978	35	5.7%
1976	35	5.7%
1972	33	5.3%
1973	30	4.8%
1984	30	4.8%
1981	28	4.5%
1988	28	4.5%
1986	28	4.5%
1991	27	4.4%
1983	26	4.2%
1985	26	4.2%
1968	25	4.0%
1980	24	3.9%
1992	21	3.4%
1977	21	3.4%
1975	16	2.6%
1989	16	2.6%
1979	16	2.6%
1969	14	2.3%
1982	13	2.1%
1974	12	1.9%
1993	11	1.8%
1970	9	1.5%
1971	8	1.3%
Other values (10)	39	6.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1961	1	0.2%
1962	1	0.2%
1963	3	0.5%
1964	2	0.3%
1965	5	0.8%
1966	5	0.8%
1967	6	1.0%
1968	25	4.0%
1969	14	2.3%
1970	9	1.5%

Value	Count	Frequency (%)
1998	5	0.8%
1994	3	0.5%
1993	11	1.8%
1992	21	3.4%
1991	27	4.4%
1990	8	1.3%
1989	16	2.6%
1988	28	4.5%
1987	48	7.8%
1986	28	4.5%

MP_Playing
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	40
Distinct (%)	6.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	30.42326333
Minimum	1
Maximum	42
Zeros	0
Zeros (%)	0.0%
Memory size	5.0 KiB

Quantile statistics

Minimum	1
5-th percentile	18.9
Q1	28
median	32
Q3	34
95-th percentile	37
Maximum	42
Range	41
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	6.134826179
Coefficient of variation (CV)	0.2016491825
Kurtosis	4.686223272
Mean	30.42326333
Median Absolute Deviation (MAD)	3
Skewness	-1.803655791
Sum	18832
Variance	37.63609225
Monotocity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
32	66	10.7%
34	63	10.2%
35	58	9.4%
31	50	8.1%
33	43	6.9%
29	41	6.6%
30	40	6.5%
36	36	5.8%
37	32	5.2%
28	27	4.4%
27	25	4.0%
38	23	3.7%
26	19	3.1%
24	15	2.4%
25	12	1.9%
22	10	1.6%
23	9	1.5%
20	7	1.1%
16	5	0.8%
19	5	0.8%
18	4	0.6%
21	3	0.5%
13	3	0.5%
17	3	0.5%
1	3	0.5%
Other values (15)	17	2.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	3	0.5%
2	1	0.2%
4	1	0.2%
5	1	0.2%
7	1	0.2%
8	1	0.2%
9	1	0.2%
10	2	0.3%
11	1	0.2%
12	2	0.3%

Value	Count	Frequency (%)
42	1	0.2%
41	1	0.2%
40	1	0.2%
39	1	0.2%
38	23	3.7%
37	32	5.2%
36	36	5.8%
35	58	9.4%
34	63	10.2%
33	43	6.9%

Starts_Playing
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	39
Distinct (%)	6.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	28.30371567
Minimum	0
Maximum	41
Zeros	3
Zeros (%)	0.5%
Memory size	5.0 KiB

Quantile statistics

Minimum	0
5-th percentile	14
Q1	25
median	30
Q3	33
95-th percentile	37
Maximum	41
Range	41
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	7.16189366
Coefficient of variation (CV)	0.2530372246
Kurtosis	2.210856266
Mean	28.30371567
Median Absolute Deviation (MAD)	4
Skewness	-1.347425143
Sum	17520
Variance	51.2927208
Monotocity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
31	59	9.5%
32	52	8.4%
35	42	6.8%
30	40	6.5%
34	39	6.3%
33	38	6.1%
29	35	5.7%
28	32	5.2%
26	27	4.4%
37	25	4.0%
24	24	3.9%
27	24	3.9%
25	23	3.7%
36	21	3.4%
23	17	2.7%
22	16	2.6%
20	15	2.4%
38	13	2.1%
21	8	1.3%
18	7	1.1%
11	7	1.1%
17	7	1.1%
15	6	1.0%
19	6	1.0%
16	6	1.0%
Other values (14)	30	4.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3	0.5%
1	2	0.3%
2	2	0.3%
5	1	0.2%
6	2	0.3%
7	3	0.5%
8	2	0.3%
9	2	0.3%
11	7	1.1%
12	2	0.3%

Value	Count	Frequency (%)
41	2	0.3%
40	1	0.2%
39	1	0.2%
38	13	2.1%
37	25	4.0%
36	21	3.4%
35	42	6.8%
34	39	6.3%
33	38	6.1%
32	52	8.4%

Min_Playing
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	469
Distinct (%)	75.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2491.943457
Minimum	6
Maximum	3622
Zeros	0
Zeros (%)	0.0%
Memory size	5.0 KiB

Quantile statistics

Minimum	6
5-th percentile	1319.6
Q1	2160.5
median	2624
Q3	2930.5
95-th percentile	3305.6
Maximum	3622
Range	3616
Interquartile range (IQR)	770

Descriptive statistics

Standard deviation	629.1371255
Coefficient of variation (CV)	0.2524684594
Kurtosis	1.941896288
Mean	2491.943457
Median Absolute Deviation (MAD)	357
Skewness	-1.225330936
Sum	1542513
Variance	395813.5227
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3150	12	1.9%
3420	8	1.3%
3330	8	1.3%
3240	6	1.0%
2790	5	0.8%
2341	4	0.6%
2091	4	0.6%
2880	4	0.6%
2970	4	0.6%
2857	4	0.6%
3060	4	0.6%
2501	3	0.5%
2830	3	0.5%
2722	3	0.5%
2581	3	0.5%
1963	3	0.5%
2434	3	0.5%
3138	3	0.5%
3086	3	0.5%
2933	3	0.5%
1997	3	0.5%
2159	3	0.5%
2550	3	0.5%
2953	3	0.5%
2907	3	0.5%
Other values (444)	514	83.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
6	1	0.2%
45	1	0.2%
53	1	0.2%
74	1	0.2%
122	1	0.2%
164	1	0.2%
205	1	0.2%
542	1	0.2%
560	1	0.2%
606	1	0.2%

Value	Count	Frequency (%)
3622	1	0.2%
3524	1	0.2%
3520	1	0.2%
3473	1	0.2%
3420	8	1.3%
3413	1	0.2%
3384	1	0.2%
3378	1	0.2%
3375	1	0.2%
3367	1	0.2%

Mins_Per_90_Playing
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	217
Distinct (%)	35.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	27.68546042
Minimum	0.1
Maximum	40.2
Zeros	0
Zeros (%)	0.0%
Memory size	5.0 KiB

Quantile statistics

Minimum	0.1
5-th percentile	14.69
Q1	24
median	29.2
Q3	32.6
95-th percentile	36.71
Maximum	40.2
Range	40.1
Interquartile range (IQR)	8.6

Descriptive statistics

Standard deviation	6.990401318
Coefficient of variation (CV)	0.2524935909
Kurtosis	1.938683353
Mean	27.68546042
Median Absolute Deviation (MAD)	3.9
Skewness	-1.224693573
Sum	17137.3
Variance	48.86571059
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
35	12	1.9%
37	10	1.6%
33.9	9	1.5%
31	9	1.5%
29.4	9	1.5%
32	8	1.3%
38	8	1.3%
30.2	7	1.1%
29.2	7	1.1%
28	7	1.1%
31.7	7	1.1%
30	7	1.1%
28.8	7	1.1%
28.6	6	1.0%
36	6	1.0%
21.1	6	1.0%
16.4	6	1.0%
32.8	6	1.0%
32.3	6	1.0%
28.4	6	1.0%
26	6	1.0%
31.4	6	1.0%
32.6	6	1.0%
29.6	6	1.0%
24	5	0.8%
Other values (192)	441	71.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.1	1	0.2%
0.5	1	0.2%
0.6	1	0.2%
0.8	1	0.2%
1.4	1	0.2%
1.8	1	0.2%
2.3	1	0.2%
6	1	0.2%
6.2	1	0.2%
6.7	1	0.2%

Value	Count	Frequency (%)
40.2	1	0.2%
39.2	1	0.2%
39.1	1	0.2%
38.6	1	0.2%
38	8	1.3%
37.9	1	0.2%
37.6	1	0.2%
37.5	2	0.3%
37.4	1	0.2%
37.2	1	0.2%

Gls
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	43
Distinct (%)	6.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	10.88206785
Minimum	0
Maximum	50
Zeros	88
Zeros (%)	14.2%
Memory size	5.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	8
Q3	17
95-th percentile	30
Maximum	50
Range	50
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	10.00100245
Coefficient of variation (CV)	0.9190351127
Kurtosis	0.4525178374
Mean	10.88206785
Median Absolute Deviation (MAD)	7
Skewness	0.9620903597
Sum	6736
Variance	100.0200501
Monotocity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
0	88	14.2%
1	36	5.8%
3	35	5.7%
4	31	5.0%
2	30	4.8%
13	25	4.0%
6	25	4.0%
7	25	4.0%
5	25	4.0%
16	24	3.9%
9	22	3.6%
10	21	3.4%
12	20	3.2%
21	19	3.1%
8	18	2.9%
17	14	2.3%
24	14	2.3%
15	13	2.1%
25	11	1.8%
11	11	1.8%
14	10	1.6%
19	10	1.6%
26	10	1.6%
23	9	1.5%
22	8	1.3%
Other values (18)	65	10.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	88	14.2%
1	36	5.8%
2	30	4.8%
3	35	5.7%
4	31	5.0%
5	25	4.0%
6	25	4.0%
7	25	4.0%
8	18	2.9%
9	22	3.6%

Value	Count	Frequency (%)
50	1	0.2%
48	1	0.2%
46	2	0.3%
43	1	0.2%
40	2	0.3%
37	1	0.2%
36	2	0.3%
35	2	0.3%
34	4	0.6%
33	1	0.2%

Ast
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	21
Distinct (%)	3.9%
Missing	80
Missing (%)	12.9%
Infinite	0
Infinite (%)	0.0%

Mean	5.703153989
Minimum	0
Maximum	20
Zeros	83
Zeros (%)	13.4%
Memory size	5.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	5
Q3	9
95-th percentile	14
Maximum	20
Range	20
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	4.47971567
Coefficient of variation (CV)	0.7854803989
Kurtosis	-0.02494505676
Mean	5.703153989
Median Absolute Deviation (MAD)	3
Skewness	0.650996592
Sum	3074
Variance	20.06785249
Monotocity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
0	83	13.4%
5	56	9.0%
8	42	6.8%
4	41	6.6%
1	40	6.5%
7	37	6.0%
3	37	6.0%
6	35	5.7%
9	33	5.3%
2	31	5.0%
11	28	4.5%
10	21	3.4%
12	14	2.3%
13	11	1.8%
14	8	1.3%
16	6	1.0%
15	4	0.6%
17	4	0.6%
18	4	0.6%
20	2	0.3%
19	2	0.3%
(Missing)	80	12.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	83	13.4%
1	40	6.5%
2	31	5.0%
3	37	6.0%
4	41	6.6%
5	56	9.0%
6	35	5.7%
7	37	6.0%
8	42	6.8%
9	33	5.3%

Value	Count	Frequency (%)
20	2	0.3%
19	2	0.3%
18	4	0.6%
17	4	0.6%
16	6	1.0%
15	4	0.6%
14	8	1.3%
13	11	1.8%
12	14	2.3%
11	28	4.5%

G_minus_PK
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	39
Distinct (%)	6.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	9.605815832
Minimum	0
Maximum	42
Zeros	89
Zeros (%)	14.4%
Memory size	5.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	7
Q3	15
95-th percentile	27
Maximum	42
Range	42
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	8.736878193
Coefficient of variation (CV)	0.9095404644
Kurtosis	0.2685954515
Mean	9.605815832
Median Absolute Deviation (MAD)	6
Skewness	0.9364130405
Sum	5946
Variance	76.33304056
Monotocity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
0	89	14.4%
1	37	6.0%
3	36	5.8%
2	34	5.5%
4	33	5.3%
6	30	4.8%
7	30	4.8%
5	28	4.5%
10	28	4.5%
8	26	4.2%
12	24	3.9%
19	16	2.6%
9	16	2.6%
21	16	2.6%
14	16	2.6%
13	15	2.4%
16	15	2.4%
15	14	2.3%
20	13	2.1%
11	12	1.9%
23	12	1.9%
18	12	1.9%
28	12	1.9%
17	10	1.6%
22	9	1.5%
Other values (14)	36	5.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	89	14.4%
1	37	6.0%
2	34	5.5%
3	36	5.8%
4	33	5.3%
5	28	4.5%
6	30	4.8%
7	30	4.8%
8	26	4.2%
9	16	2.6%

Value	Count	Frequency (%)
42	1	0.2%
40	1	0.2%
38	2	0.3%
37	1	0.2%
34	1	0.2%
33	2	0.3%
32	4	0.6%
31	2	0.3%
30	1	0.2%
29	3	0.5%

PK
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	12
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.276252019
Minimum	0
Maximum	12
Zeros	371
Zeros (%)	59.9%
Memory size	5.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	2
95-th percentile	6
Maximum	12
Range	12
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.020830401
Coefficient of variation (CV)	1.58341015
Kurtosis	3.219396489
Mean	1.276252019
Median Absolute Deviation (MAD)	0
Skewness	1.805480801
Sum	790
Variance	4.083755509
Monotocity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
0	371	59.9%
1	56	9.0%
2	54	8.7%
3	51	8.2%
4	33	5.3%
5	19	3.1%
6	17	2.7%
7	9	1.5%
8	5	0.8%
10	2	0.3%
9	1	0.2%
12	1	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	371	59.9%
1	56	9.0%
2	54	8.7%
3	51	8.2%
4	33	5.3%
5	19	3.1%
6	17	2.7%
7	9	1.5%
8	5	0.8%
9	1	0.2%

Value	Count	Frequency (%)
12	1	0.2%
10	2	0.3%
9	1	0.2%
8	5	0.8%
7	9	1.5%
6	17	2.7%
5	19	3.1%
4	33	5.3%
3	51	8.2%
2	54	8.7%

PKatt
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	14
Distinct (%)	2.6%
Missing	78
Missing (%)	12.6%
Infinite	0
Infinite (%)	0.0%

Mean	1.624768946
Minimum	0
Maximum	13
Zeros	296
Zeros (%)	47.8%
Memory size	5.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	3
95-th percentile	7
Maximum	13
Range	13
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.417079695
Coefficient of variation (CV)	1.487645182
Kurtosis	2.58612645
Mean	1.624768946
Median Absolute Deviation (MAD)	0
Skewness	1.691519777
Sum	879
Variance	5.842274252
Monotocity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
0	296	47.8%
1	52	8.4%
2	47	7.6%
3	44	7.1%
4	36	5.8%
6	19	3.1%
8	16	2.6%
5	15	2.4%
7	8	1.3%
10	3	0.5%
9	2	0.3%
11	1	0.2%
13	1	0.2%
12	1	0.2%
(Missing)	78	12.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	296	47.8%
1	52	8.4%
2	47	7.6%
3	44	7.1%
4	36	5.8%
5	15	2.4%
6	19	3.1%
7	8	1.3%
8	16	2.6%
9	2	0.3%

Value	Count	Frequency (%)
13	1	0.2%
12	1	0.2%
11	1	0.2%
10	3	0.5%
9	2	0.3%
8	16	2.6%
7	8	1.3%
6	19	3.1%
5	15	2.4%
4	36	5.8%

CrdY
Real number (ℝ_≥0)

ZEROS

Distinct	17
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.012924071
Minimum	0
Maximum	16
Zeros	64
Zeros (%)	10.3%
Memory size	5.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	3
Q3	6
95-th percentile	10
Maximum	16
Range	16
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.036428399
Coefficient of variation (CV)	0.7566623104
Kurtosis	0.5870232341
Mean	4.012924071
Median Absolute Deviation (MAD)	2
Skewness	0.8790238948
Sum	2484
Variance	9.219897423
Monotocity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
2	93	15.0%
3	81	13.1%
4	74	12.0%
1	72	11.6%
5	69	11.1%
0	64	10.3%
6	49	7.9%
8	32	5.2%
7	28	4.5%
9	22	3.6%
10	15	2.4%
11	7	1.1%
12	6	1.0%
14	3	0.5%
13	2	0.3%
15	1	0.2%
16	1	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	64	10.3%
1	72	11.6%
2	93	15.0%
3	81	13.1%
4	74	12.0%
5	69	11.1%
6	49	7.9%
7	28	4.5%
8	32	5.2%
9	22	3.6%

Value	Count	Frequency (%)
16	1	0.2%
15	1	0.2%
14	3	0.5%
13	2	0.3%
12	6	1.0%
11	7	1.1%
10	15	2.4%
9	22	3.6%
8	32	5.2%
7	28	4.5%

CrdR
Categorical

Distinct	4
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

0	495
1	95
2	25
3	4

Value	Count	Frequency (%)
0	495	80.0%
1	95	15.3%
2	25	4.0%
3	4	0.6%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Overview of Unicode Properties

Unique unicode characters	5
Unique unicode categories	2 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
0	1114	60.0%
.	619	33.3%
1	95	5.1%
2	25	1.3%
3	4	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1238	66.7%
Other Punctuation	619	33.3%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	1114	90.0%
1	95	7.7%
2	25	2.0%
3	4	0.3%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
.	619	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1857	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
0	1114	60.0%
.	619	33.3%
1	95	5.1%
2	25	1.3%
3	4	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1857	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
0	1114	60.0%
.	619	33.3%
1	95	5.1%
2	25	1.3%
3	4	0.2%

Gls_Per
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	115
Distinct (%)	18.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.39180937
Minimum	0
Maximum	1.56
Zeros	88
Zeros (%)	14.2%
Memory size	5.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.1
median	0.33
Q3	0.64
95-th percentile	0.981
Maximum	1.56
Range	1.56
Interquartile range (IQR)	0.54

Descriptive statistics

Standard deviation	0.3308764802
Coefficient of variation (CV)	0.8444833268
Kurtosis	-0.526125752
Mean	0.39180937
Median Absolute Deviation (MAD)	0.26
Skewness	0.5998034457
Sum	242.53
Variance	0.1094792452
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	88	14.2%
0.04	14	2.3%
0.11	14	2.3%
0.03	13	2.1%
0.21	13	2.1%
0.54	11	1.8%
0.09	11	1.8%
0.16	11	1.8%
0.06	10	1.6%
0.27	10	1.6%
0.13	10	1.6%
0.49	10	1.6%
0.14	9	1.5%
0.19	9	1.5%
0.26	9	1.5%
0.44	8	1.3%
0.59	8	1.3%
0.3	8	1.3%
0.68	8	1.3%
0.08	8	1.3%
0.65	8	1.3%
0.55	8	1.3%
0.1	8	1.3%
0.18	7	1.1%
0.7	7	1.1%
Other values (90)	299	48.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	88	14.2%
0.03	13	2.1%
0.04	14	2.3%
0.05	5	0.8%
0.06	10	1.6%
0.07	4	0.6%
0.08	8	1.3%
0.09	11	1.8%
0.1	8	1.3%
0.11	14	2.3%

Value	Count	Frequency (%)
1.56	1	0.2%
1.39	1	0.2%
1.38	1	0.2%
1.27	1	0.2%
1.24	2	0.3%
1.19	1	0.2%
1.18	1	0.2%
1.15	1	0.2%
1.14	1	0.2%
1.13	1	0.2%

Ast_Per
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	59
Distinct (%)	10.9%
Missing	80
Missing (%)	12.9%
Infinite	0
Infinite (%)	0.0%

Mean	0.2099814471
Minimum	0
Maximum	0.65
Zeros	83
Zeros (%)	13.4%
Memory size	5.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.07
median	0.2
Q3	0.32
95-th percentile	0.5
Maximum	0.65
Range	0.65
Interquartile range (IQR)	0.25

Descriptive statistics

Standard deviation	0.1596330586
Coefficient of variation (CV)	0.7602245857
Kurtosis	-0.46153109
Mean	0.2099814471
Median Absolute Deviation (MAD)	0.12
Skewness	0.4878287241
Sum	113.18
Variance	0.02548271341
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	83	13.4%
0.24	20	3.2%
0.15	20	3.2%
0.03	17	2.7%
0.2	16	2.6%
0.18	15	2.4%
0.17	15	2.4%
0.32	14	2.3%
0.28	13	2.1%
0.06	13	2.1%
0.33	13	2.1%
0.04	12	1.9%
0.26	12	1.9%
0.38	12	1.9%
0.29	11	1.8%
0.14	10	1.6%
0.22	10	1.6%
0.27	10	1.6%
0.42	10	1.6%
0.23	10	1.6%
0.11	10	1.6%
0.12	10	1.6%
0.07	9	1.5%
0.4	9	1.5%
0.13	9	1.5%
Other values (34)	156	25.2%
(Missing)	80	12.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	83	13.4%
0.03	17	2.7%
0.04	12	1.9%
0.05	4	0.6%
0.06	13	2.1%
0.07	9	1.5%
0.08	6	1.0%
0.09	9	1.5%
0.1	9	1.5%
0.11	10	1.6%

Value	Count	Frequency (%)
0.65	4	0.6%
0.63	2	0.3%
0.6	2	0.3%
0.59	1	0.2%
0.58	1	0.2%
0.57	3	0.5%
0.55	2	0.3%
0.54	2	0.3%
0.53	4	0.6%
0.52	5	0.8%

G+A_Per
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	137
Distinct (%)	25.4%
Missing	80
Missing (%)	12.9%
Infinite	0
Infinite (%)	0.0%

Mean	0.6125602968
Minimum	0
Maximum	1.94
Zeros	61
Zeros (%)	9.9%
Memory size	5.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.235
median	0.66
Q3	0.9
95-th percentile	1.261
Maximum	1.94
Range	1.94
Interquartile range (IQR)	0.665

Descriptive statistics

Standard deviation	0.4169388952
Coefficient of variation (CV)	0.6806495579
Kurtosis	-0.5600665994
Mean	0.6125602968
Median Absolute Deviation (MAD)	0.3
Skewness	0.1870830112
Sum	330.17
Variance	0.1738380424
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	61	9.9%
0.89	12	1.9%
0.77	10	1.6%
0.8	9	1.5%
0.67	9	1.5%
0.11	8	1.3%
0.12	8	1.3%
0.03	8	1.3%
0.78	8	1.3%
0.07	8	1.3%
0.47	7	1.1%
0.61	7	1.1%
0.88	7	1.1%
0.4	7	1.1%
0.17	7	1.1%
0.38	7	1.1%
1.03	7	1.1%
0.42	6	1.0%
0.95	6	1.0%
0.74	6	1.0%
0.9	6	1.0%
0.81	6	1.0%
1	6	1.0%
0.97	6	1.0%
0.76	6	1.0%
Other values (112)	301	48.6%
(Missing)	80	12.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	61	9.9%
0.03	8	1.3%
0.04	2	0.3%
0.05	2	0.3%
0.06	5	0.8%
0.07	8	1.3%
0.08	2	0.3%
0.09	1	0.2%
0.1	2	0.3%
0.11	8	1.3%

Value	Count	Frequency (%)
1.94	1	0.2%
1.86	1	0.2%
1.82	1	0.2%
1.63	2	0.3%
1.6	2	0.3%
1.57	1	0.2%
1.56	1	0.2%
1.54	1	0.2%
1.51	3	0.5%
1.46	2	0.3%

G_minus_PK_Per
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	100
Distinct (%)	16.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.3472051696
Minimum	0
Maximum	1.43
Zeros	89
Zeros (%)	14.4%
Memory size	5.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.09
median	0.28
Q3	0.56
95-th percentile	0.871
Maximum	1.43
Range	1.43
Interquartile range (IQR)	0.47

Descriptive statistics

Standard deviation	0.29240401
Coefficient of variation (CV)	0.8421649089
Kurtosis	-0.475808095
Mean	0.3472051696
Median Absolute Deviation (MAD)	0.23
Skewness	0.6267503317
Sum	214.92
Variance	0.08550010509
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	89	14.4%
0.04	15	2.4%
0.03	14	2.3%
0.21	13	2.1%
0.16	13	2.1%
0.13	12	1.9%
0.11	12	1.9%
0.06	12	1.9%
0.55	12	1.9%
0.19	11	1.8%
0.09	10	1.6%
0.8	10	1.6%
0.26	9	1.5%
0.24	9	1.5%
0.42	9	1.5%
0.14	9	1.5%
0.43	9	1.5%
0.08	8	1.3%
0.18	8	1.3%
0.4	8	1.3%
0.27	8	1.3%
0.62	8	1.3%
0.54	8	1.3%
0.1	8	1.3%
0.56	7	1.1%
Other values (75)	288	46.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	89	14.4%
0.03	14	2.3%
0.04	15	2.4%
0.05	5	0.8%
0.06	12	1.9%
0.07	5	0.8%
0.08	8	1.3%
0.09	10	1.6%
0.1	8	1.3%
0.11	12	1.9%

Value	Count	Frequency (%)
1.43	1	0.2%
1.23	1	0.2%
1.1	2	0.3%
1.06	3	0.5%
1.01	2	0.3%
1	3	0.5%
0.99	3	0.5%
0.96	3	0.5%
0.95	2	0.3%
0.94	1	0.2%

G+A_minus_PK_Per
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	129
Distinct (%)	23.9%
Missing	80
Missing (%)	12.9%
Infinite	0
Infinite (%)	0.0%

Mean	0.566864564
Minimum	0
Maximum	1.8
Zeros	61
Zeros (%)	9.9%
Memory size	5.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.235
median	0.61
Q3	0.82
95-th percentile	1.183
Maximum	1.8
Range	1.8
Interquartile range (IQR)	0.585

Descriptive statistics

Standard deviation	0.3807725494
Coefficient of variation (CV)	0.6717169737
Kurtosis	-0.5671558617
Mean	0.566864564
Median Absolute Deviation (MAD)	0.27
Skewness	0.1727069787
Sum	305.54
Variance	0.1449877344
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	61	9.9%
0.77	15	2.4%
0.67	11	1.8%
0.76	11	1.8%
0.38	10	1.6%
0.12	9	1.5%
0.78	9	1.5%
0.11	8	1.3%
0.62	8	1.3%
0.03	8	1.3%
0.74	8	1.3%
0.68	8	1.3%
0.07	8	1.3%
0.72	7	1.1%
0.17	7	1.1%
0.61	7	1.1%
0.4	7	1.1%
0.92	7	1.1%
0.97	7	1.1%
0.7	7	1.1%
0.75	7	1.1%
0.8	7	1.1%
0.33	6	1.0%
0.89	6	1.0%
0.57	6	1.0%
Other values (104)	284	45.9%
(Missing)	80	12.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	61	9.9%
0.03	8	1.3%
0.04	2	0.3%
0.05	2	0.3%
0.06	5	0.8%
0.07	8	1.3%
0.08	2	0.3%
0.09	1	0.2%
0.1	2	0.3%
0.11	8	1.3%

Value	Count	Frequency (%)
1.8	1	0.2%
1.57	1	0.2%
1.54	1	0.2%
1.51	2	0.3%
1.5	1	0.2%
1.49	2	0.3%
1.46	1	0.2%
1.45	1	0.2%
1.4	1	0.2%
1.35	1	0.2%

Url
URL

Distinct	225
Distinct (%)	36.3%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

https://fbref.com/en/players/dea698d9/Cristiano-Ronaldo	16
https://fbref.com/en/players/d70ce98e/Lionel-Messi	14
https://fbref.com/en/players/654f4e63/Zinedine-Zidane	11
https://fbref.com/en/players/945dea33/Didier-Drogba	9
https://fbref.com/en/players/c0c5ee74/Thierry-Henry	9
Other values (220)	560

Value	Count	Frequency (%)
https://fbref.com/en/players/dea698d9/Cristiano-Ronaldo	16	2.6%
https://fbref.com/en/players/d70ce98e/Lionel-Messi	14	2.3%
https://fbref.com/en/players/654f4e63/Zinedine-Zidane	11	1.8%
https://fbref.com/en/players/945dea33/Didier-Drogba	9	1.5%
https://fbref.com/en/players/c0c5ee74/Thierry-Henry	9	1.5%
https://fbref.com/en/players/cfd65a29/Andres-Iniesta	9	1.5%
https://fbref.com/en/players/e40d028b/Gianluigi-Buffon	9	1.5%
https://fbref.com/en/players/70d74ece/Karim-Benzema	8	1.3%
https://fbref.com/en/players/06420c93/Samuel-Etoo	8	1.3%
https://fbref.com/en/players/4d034881/Sergio-Aguero	8	1.3%
https://fbref.com/en/players/c1b4188c/Xavi	8	1.3%
https://fbref.com/en/players/8778c910/Manuel-Neuer	7	1.1%
https://fbref.com/en/players/1ddbb0da/Iker-Casillas	7	1.1%
https://fbref.com/en/players/a39bb753/Eden-Hazard	7	1.1%
https://fbref.com/en/players/f20f347f/Luis-Figo	7	1.1%
https://fbref.com/en/players/f07be45a/Wayne-Rooney	7	1.1%
https://fbref.com/en/players/08511d65/Sergio-Ramos	7	1.1%
https://fbref.com/en/players/a6154613/Luis-Suarez	7	1.1%
https://fbref.com/en/players/3c6089ab/Thomas-Muller	7	1.1%
https://fbref.com/en/players/c204f844/Yaya-Toure	7	1.1%
https://fbref.com/en/players/5c7f3153/Rivaldo	6	1.0%
https://fbref.com/en/players/e46012d4/Kevin-De-Bruyne	6	1.0%
https://fbref.com/en/players/80bc263c/Alessandro-Del-Piero	6	1.0%
https://fbref.com/en/players/b2d6ea70/Kaka	6	1.0%
https://fbref.com/en/players/71c5f16f/Andrea-Pirlo	6	1.0%
Other values (200)	417	67.4%

Value	Count	Frequency (%)
https	619	100.0%

Value	Count	Frequency (%)
fbref.com	619	100.0%

Value	Count	Frequency (%)
/en/players/dea698d9/Cristiano-Ronaldo	16	2.6%
/en/players/d70ce98e/Lionel-Messi	14	2.3%
/en/players/654f4e63/Zinedine-Zidane	11	1.8%
/en/players/945dea33/Didier-Drogba	9	1.5%
/en/players/c0c5ee74/Thierry-Henry	9	1.5%
/en/players/cfd65a29/Andres-Iniesta	9	1.5%
/en/players/e40d028b/Gianluigi-Buffon	9	1.5%
/en/players/70d74ece/Karim-Benzema	8	1.3%
/en/players/06420c93/Samuel-Etoo	8	1.3%
/en/players/4d034881/Sergio-Aguero	8	1.3%
/en/players/c1b4188c/Xavi	8	1.3%
/en/players/8778c910/Manuel-Neuer	7	1.1%
/en/players/1ddbb0da/Iker-Casillas	7	1.1%
/en/players/a39bb753/Eden-Hazard	7	1.1%
/en/players/f20f347f/Luis-Figo	7	1.1%
/en/players/f07be45a/Wayne-Rooney	7	1.1%
/en/players/08511d65/Sergio-Ramos	7	1.1%
/en/players/a6154613/Luis-Suarez	7	1.1%
/en/players/3c6089ab/Thomas-Muller	7	1.1%
/en/players/c204f844/Yaya-Toure	7	1.1%
/en/players/5c7f3153/Rivaldo	6	1.0%
/en/players/e46012d4/Kevin-De-Bruyne	6	1.0%
/en/players/80bc263c/Alessandro-Del-Piero	6	1.0%
/en/players/b2d6ea70/Kaka	6	1.0%
/en/players/71c5f16f/Andrea-Pirlo	6	1.0%
Other values (200)	417	67.4%

Value	Count	Frequency (%)
	619	100.0%

Value	Count	Frequency (%)
	619	100.0%

xG_Expected
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	46
Distinct (%)	85.2%
Missing	565
Missing (%)	91.3%
Infinite	0
Infinite (%)	0.0%

Mean	10.52407407
Minimum	0
Maximum	28.4
Zeros	7
Zeros (%)	1.1%
Memory size	5.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1.725
median	9.75
Q3	17.425
95-th percentile	25.44
Maximum	28.4
Range	28.4
Interquartile range (IQR)	15.7

Descriptive statistics

Standard deviation	9.018240116
Coefficient of variation (CV)	0.8569153022
Kurtosis	-1.148386716
Mean	10.52407407
Median Absolute Deviation (MAD)	7.95
Skewness	0.4229087877
Sum	568.3
Variance	81.32865479
Monotocity	Not monotonic

Histogram with fixed size bins (bins=46)

Value	Count	Frequency (%)
0	7	1.1%
6.6	2	0.3%
2.1	2	0.3%
14.5	1	0.2%
11.4	1	0.2%
3.1	1	0.2%
22.7	1	0.2%
17.2	1	0.2%
18.6	1	0.2%
27.3	1	0.2%
28.4	1	0.2%
5.7	1	0.2%
13.8	1	0.2%
19.6	1	0.2%
5	1	0.2%
13.3	1	0.2%
13.7	1	0.2%
1.4	1	0.2%
20.1	1	0.2%
7.7	1	0.2%
3.2	1	0.2%
15.8	1	0.2%
2.8	1	0.2%
23.4	1	0.2%
1.5	1	0.2%
Other values (21)	21	3.4%
(Missing)	565	91.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	7	1.1%
0.2	1	0.2%
0.8	1	0.2%
0.9	1	0.2%
1.2	1	0.2%
1.4	1	0.2%
1.5	1	0.2%
1.6	1	0.2%
2.1	2	0.3%
2.8	1	0.2%

Value	Count	Frequency (%)
28.4	1	0.2%
27.3	1	0.2%
25.7	1	0.2%
25.3	1	0.2%
24.4	1	0.2%
24.2	1	0.2%
23.4	1	0.2%
23.2	1	0.2%
22.7	1	0.2%
21.7	1	0.2%

npxG_Expected
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	41
Distinct (%)	75.9%
Missing	565
Missing (%)	91.3%
Infinite	0
Infinite (%)	0.0%

Mean	9.446296296
Minimum	0
Maximum	25.8
Zeros	7
Zeros (%)	1.1%
Memory size	5.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1.725
median	8.05
Q3	15.775
95-th percentile	23.075
Maximum	25.8
Range	25.8
Interquartile range (IQR)	14.05

Descriptive statistics

Standard deviation	8.025283466
Coefficient of variation (CV)	0.8495693141
Kurtosis	-1.054137592
Mean	9.446296296
Median Absolute Deviation (MAD)	6.5
Skewness	0.4453486599
Sum	510.1
Variance	64.4051747
Monotocity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
0	7	1.1%
2.1	2	0.3%
21	2	0.3%
19.7	2	0.3%
11.4	2	0.3%
18.1	2	0.3%
6.6	2	0.3%
5	2	0.3%
8.4	1	0.2%
13.8	1	0.2%
25.4	1	0.2%
1.5	1	0.2%
12.5	1	0.2%
1.4	1	0.2%
16.3	1	0.2%
17.2	1	0.2%
16.2	1	0.2%
7.7	1	0.2%
3.1	1	0.2%
3.2	1	0.2%
13.5	1	0.2%
2.8	1	0.2%
25.8	1	0.2%
10.3	1	0.2%
1.6	1	0.2%
Other values (16)	16	2.6%
(Missing)	565	91.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	7	1.1%
0.2	1	0.2%
0.8	1	0.2%
0.9	1	0.2%
1.2	1	0.2%
1.4	1	0.2%
1.5	1	0.2%
1.6	1	0.2%
2.1	2	0.3%
2.8	1	0.2%

Value	Count	Frequency (%)
25.8	1	0.2%
25.4	1	0.2%
23.4	1	0.2%
22.9	1	0.2%
22.3	1	0.2%
21	2	0.3%
19.7	2	0.3%
18.1	2	0.3%
17.2	1	0.2%
16.3	1	0.2%

xA_Expected
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	40
Distinct (%)	74.1%
Missing	565
Missing (%)	91.3%
Infinite	0
Infinite (%)	0.0%

Mean	4.831481481
Minimum	0
Maximum	13.6
Zeros	8
Zeros (%)	1.3%
Memory size	5.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1.125
median	4.85
Q3	7.35
95-th percentile	12.36
Maximum	13.6
Range	13.6
Interquartile range (IQR)	6.225

Descriptive statistics

Standard deviation	3.788304946
Coefficient of variation (CV)	0.784087647
Kurtosis	-0.2595170594
Mean	4.831481481
Median Absolute Deviation (MAD)	2.95
Skewness	0.5228663431
Sum	260.9
Variance	14.35125437
Monotocity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
0	8	1.3%
5.3	3	0.5%
4.2	2	0.3%
13.6	2	0.3%
4.9	2	0.3%
5.8	2	0.3%
7.4	2	0.3%
3.8	1	0.2%
4.5	1	0.2%
8.8	1	0.2%
5.5	1	0.2%
8.3	1	0.2%
3.4	1	0.2%
9.2	1	0.2%
9.3	1	0.2%
6.8	1	0.2%
6.3	1	0.2%
3.3	1	0.2%
0.2	1	0.2%
5.6	1	0.2%
1.2	1	0.2%
1.1	1	0.2%
0.8	1	0.2%
0.1	1	0.2%
2.4	1	0.2%
Other values (15)	15	2.4%
(Missing)	565	91.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	8	1.3%
0.1	1	0.2%
0.2	1	0.2%
0.8	1	0.2%
0.9	1	0.2%
1	1	0.2%
1.1	1	0.2%
1.2	1	0.2%
1.9	1	0.2%
2.4	1	0.2%

Value	Count	Frequency (%)
13.6	2	0.3%
13.4	1	0.2%
11.8	1	0.2%
9.7	1	0.2%
9.3	1	0.2%
9.2	1	0.2%
9	1	0.2%
8.8	1	0.2%
8.3	1	0.2%
7.9	1	0.2%

npxG+xA_Expected
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	47
Distinct (%)	87.0%
Missing	565
Missing (%)	91.3%
Infinite	0
Infinite (%)	0.0%

Mean	14.29074074
Minimum	0
Maximum	35.9
Zeros	7
Zeros (%)	1.1%
Memory size	5.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3.625
median	15.4
Q3	22.2
95-th percentile	32.39
Maximum	35.9
Range	35.9
Interquartile range (IQR)	18.575

Descriptive statistics

Standard deviation	10.76430629
Coefficient of variation (CV)	0.753236413
Kurtosis	-1.095061494
Mean	14.29074074
Median Absolute Deviation (MAD)	9.4
Skewness	0.1942946909
Sum	771.7
Variance	115.87029
Monotocity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
0	7	1.1%
21.8	2	0.3%
23	1	0.2%
33.3	1	0.2%
4.2	1	0.2%
21.9	1	0.2%
25.1	1	0.2%
31.3	1	0.2%
33.7	1	0.2%
13.9	1	0.2%
9.2	1	0.2%
17.7	1	0.2%
1.6	1	0.2%
5.6	1	0.2%
23.4	1	0.2%
18.4	1	0.2%
18.2	1	0.2%
7.7	1	0.2%
20.4	1	0.2%
11.1	1	0.2%
3.5	1	0.2%
19.1	1	0.2%
4	1	0.2%
10.8	1	0.2%
8.7	1	0.2%
Other values (22)	22	3.6%
(Missing)	565	91.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	7	1.1%
0.2	1	0.2%
1.6	1	0.2%
1.9	1	0.2%
3	1	0.2%
3.1	1	0.2%
3.2	1	0.2%
3.5	1	0.2%
4	1	0.2%
4.2	1	0.2%

Value	Count	Frequency (%)
35.9	1	0.2%
33.7	1	0.2%
33.3	1	0.2%
31.9	1	0.2%
31.3	1	0.2%
30.7	1	0.2%
26.3	1	0.2%
25.3	1	0.2%
25.1	1	0.2%
24.5	1	0.2%

xG_Per
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	37
Distinct (%)	68.5%
Missing	565
Missing (%)	91.3%
Infinite	0
Infinite (%)	0.0%

Mean	0.3777777778
Minimum	0
Maximum	1.05
Zeros	7
Zeros (%)	1.1%
Memory size	5.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.065
median	0.365
Q3	0.6575
95-th percentile	0.831
Maximum	1.05
Range	1.05
Interquartile range (IQR)	0.5925

Descriptive statistics

Standard deviation	0.3055132809
Coefficient of variation (CV)	0.8087116258
Kurtosis	-1.087401883
Mean	0.3777777778
Median Absolute Deviation (MAD)	0.305
Skewness	0.342672645
Sum	20.4
Variance	0.09333836478
Monotocity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
0	7	1.1%
0.76	3	0.5%
0.34	2	0.3%
0.06	2	0.3%
0.78	2	0.3%
0.67	2	0.3%
0.04	2	0.3%
0.09	2	0.3%
0.45	2	0.3%
0.21	2	0.3%
0.05	2	0.3%
0.25	1	0.2%
0.72	1	0.2%
0.2	1	0.2%
0.39	1	0.2%
0.38	1	0.2%
0.87	1	0.2%
1.05	1	0.2%
0.51	1	0.2%
0.5	1	0.2%
0.08	1	0.2%
0.46	1	0.2%
0.35	1	0.2%
0.24	1	0.2%
0.42	1	0.2%
Other values (12)	12	1.9%
(Missing)	565	91.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	7	1.1%
0.02	1	0.2%
0.04	2	0.3%
0.05	2	0.3%
0.06	2	0.3%
0.08	1	0.2%
0.09	2	0.3%
0.18	1	0.2%
0.2	1	0.2%
0.21	2	0.3%

Value	Count	Frequency (%)
1.05	1	0.2%
0.95	1	0.2%
0.87	1	0.2%
0.81	1	0.2%
0.8	1	0.2%
0.78	2	0.3%
0.76	3	0.5%
0.75	1	0.2%
0.72	1	0.2%
0.67	2	0.3%

xA_Per
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	28
Distinct (%)	51.9%
Missing	565
Missing (%)	91.3%
Infinite	0
Infinite (%)	0.0%

Mean	0.1774074074
Minimum	0
Maximum	0.59
Zeros	9
Zeros (%)	1.5%
Memory size	5.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.04
median	0.19
Q3	0.28
95-th percentile	0.397
Maximum	0.59
Range	0.59
Interquartile range (IQR)	0.24

Descriptive statistics

Standard deviation	0.1372669234
Coefficient of variation (CV)	0.7737383988
Kurtosis	0.08638776377
Mean	0.1774074074
Median Absolute Deviation (MAD)	0.11
Skewness	0.4755059489
Sum	9.58
Variance	0.01884220825
Monotocity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
0	9	1.5%
0.17	4	0.6%
0.19	4	0.6%
0.28	3	0.5%
0.04	3	0.5%
0.3	3	0.5%
0.23	2	0.3%
0.13	2	0.3%
0.29	2	0.3%
0.2	2	0.3%
0.24	2	0.3%
0.25	2	0.3%
0.34	1	0.2%
0.59	1	0.2%
0.07	1	0.2%
0.08	1	0.2%
0.02	1	0.2%
0.39	1	0.2%
0.45	1	0.2%
0.03	1	0.2%
0.41	1	0.2%
0.21	1	0.2%
0.33	1	0.2%
0.32	1	0.2%
0.14	1	0.2%
Other values (3)	3	0.5%
(Missing)	565	91.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	9	1.5%
0.01	1	0.2%
0.02	1	0.2%
0.03	1	0.2%
0.04	3	0.5%
0.06	1	0.2%
0.07	1	0.2%
0.08	1	0.2%
0.13	2	0.3%
0.14	1	0.2%

Value	Count	Frequency (%)
0.59	1	0.2%
0.45	1	0.2%
0.41	1	0.2%
0.39	1	0.2%
0.34	1	0.2%
0.33	1	0.2%
0.32	1	0.2%
0.3	3	0.5%
0.29	2	0.3%
0.28	3	0.5%

xG+xA_Per
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	39
Distinct (%)	72.2%
Missing	565
Missing (%)	91.3%
Infinite	0
Infinite (%)	0.0%

Mean	0.5566666667
Minimum	0
Maximum	1.37
Zeros	7
Zeros (%)	1.1%
Memory size	5.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.115
median	0.605
Q3	0.8375
95-th percentile	1.191
Maximum	1.37
Range	1.37
Interquartile range (IQR)	0.7225

Descriptive statistics

Standard deviation	0.4011681057
Coefficient of variation (CV)	0.7206612678
Kurtosis	-1.056930535
Mean	0.5566666667
Median Absolute Deviation (MAD)	0.34
Skewness	0.113732333
Sum	30.06
Variance	0.1609358491
Monotocity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
0	7	1.1%
0.64	4	0.6%
0.57	2	0.3%
1.12	2	0.3%
0.28	2	0.3%
0.98	2	0.3%
0.1	2	0.3%
0.11	2	0.3%
0.91	1	0.2%
0.66	1	0.2%
1.23	1	0.2%
0.58	1	0.2%
0.8	1	0.2%
0.75	1	0.2%
0.67	1	0.2%
0.44	1	0.2%
1.26	1	0.2%
0.49	1	0.2%
0.76	1	0.2%
0.65	1	0.2%
0.89	1	0.2%
0.52	1	0.2%
0.09	1	0.2%
0.55	1	0.2%
0.06	1	0.2%
Other values (14)	14	2.3%
(Missing)	565	91.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	7	1.1%
0.06	1	0.2%
0.07	1	0.2%
0.09	1	0.2%
0.1	2	0.3%
0.11	2	0.3%
0.13	1	0.2%
0.21	1	0.2%
0.28	2	0.3%
0.35	1	0.2%

Value	Count	Frequency (%)
1.37	1	0.2%
1.26	1	0.2%
1.23	1	0.2%
1.17	1	0.2%
1.14	1	0.2%
1.12	2	0.3%
1.03	1	0.2%
0.98	2	0.3%
0.96	1	0.2%
0.91	1	0.2%

npxG_Per
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	37
Distinct (%)	68.5%
Missing	565
Missing (%)	91.3%
Infinite	0
Infinite (%)	0.0%

Mean	0.3388888889
Minimum	0
Maximum	0.99
Zeros	7
Zeros (%)	1.1%
Memory size	5.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.065
median	0.325
Q3	0.595
95-th percentile	0.731
Maximum	0.99
Range	0.99
Interquartile range (IQR)	0.53

Descriptive statistics

Standard deviation	0.270112951
Coefficient of variation (CV)	0.7970546095
Kurtosis	-0.9707713289
Mean	0.3388888889
Median Absolute Deviation (MAD)	0.265
Skewness	0.3452951074
Sum	18.3
Variance	0.07296100629
Monotocity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
0	7	1.1%
0.28	2	0.3%
0.45	2	0.3%
0.05	2	0.3%
0.06	2	0.3%
0.66	2	0.3%
0.69	2	0.3%
0.65	2	0.3%
0.04	2	0.3%
0.62	2	0.3%
0.21	2	0.3%
0.09	2	0.3%
0.32	1	0.2%
0.43	1	0.2%
0.61	1	0.2%
0.53	1	0.2%
0.34	1	0.2%
0.2	1	0.2%
0.26	1	0.2%
0.33	1	0.2%
0.77	1	0.2%
0.99	1	0.2%
0.5	1	0.2%
0.42	1	0.2%
0.08	1	0.2%
Other values (12)	12	1.9%
(Missing)	565	91.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	7	1.1%
0.02	1	0.2%
0.04	2	0.3%
0.05	2	0.3%
0.06	2	0.3%
0.08	1	0.2%
0.09	2	0.3%
0.15	1	0.2%
0.18	1	0.2%
0.2	1	0.2%

Value	Count	Frequency (%)
0.99	1	0.2%
0.83	1	0.2%
0.77	1	0.2%
0.71	1	0.2%
0.69	2	0.3%
0.67	1	0.2%
0.66	2	0.3%
0.65	2	0.3%
0.62	2	0.3%
0.61	1	0.2%

npxG+xA_Per
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	42
Distinct (%)	77.8%
Missing	565
Missing (%)	91.3%
Infinite	0
Infinite (%)	0.0%

Mean	0.517962963
Minimum	0
Maximum	1.22
Zeros	7
Zeros (%)	1.1%
Memory size	5.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.115
median	0.56
Q3	0.765
95-th percentile	1.087
Maximum	1.22
Range	1.22
Interquartile range (IQR)	0.65

Descriptive statistics

Standard deviation	0.3672610486
Coefficient of variation (CV)	0.7090488604
Kurtosis	-1.084498564
Mean	0.517962963
Median Absolute Deviation (MAD)	0.325
Skewness	0.06405676683
Sum	27.97
Variance	0.1348806778
Monotocity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
0	7	1.1%
0.58	2	0.3%
0.11	2	0.3%
0.55	2	0.3%
1	2	0.3%
0.1	2	0.3%
0.63	2	0.3%
0.07	1	0.2%
0.62	1	0.2%
0.73	1	0.2%
0.64	1	0.2%
0.7	1	0.2%
1.2	1	0.2%
1.03	1	0.2%
0.44	1	0.2%
0.75	1	0.2%
1.1	1	0.2%
0.52	1	0.2%
0.86	1	0.2%
0.51	1	0.2%
0.28	1	0.2%
0.67	1	0.2%
0.49	1	0.2%
0.59	1	0.2%
0.21	1	0.2%
Other values (17)	17	2.7%
(Missing)	565	91.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	7	1.1%
0.06	1	0.2%
0.07	1	0.2%
0.09	1	0.2%
0.1	2	0.3%
0.11	2	0.3%
0.13	1	0.2%
0.19	1	0.2%
0.21	1	0.2%
0.28	1	0.2%

Value	Count	Frequency (%)
1.22	1	0.2%
1.2	1	0.2%
1.1	1	0.2%
1.08	1	0.2%
1.03	1	0.2%
1	2	0.3%
0.99	1	0.2%
0.96	1	0.2%
0.95	1	0.2%
0.86	1	0.2%

BO_JK
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	569
Distinct (%)	91.9%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

2005Adriano	3
1996Alan Shearer	2
2012Xabi Alonso	2
2018Marcelo	2
2012Mario Balotelli	2
Other values (564)	608

Common Values
Overview

Value	Count	Frequency (%)
2005Adriano	3	0.5%
1996Alan Shearer	2	0.3%
2012Xabi Alonso	2	0.3%
2018Marcelo	2	0.3%
2012Mario Balotelli	2	0.3%
2012Karim Benzema	2	0.3%
2012Gerard Piqué	2	0.3%
2012Sergio Busquets	2	0.3%
2012Sergio Ramos	2	0.3%
2012Sergio Agüero	2	0.3%
2012Gianluigi Buffon	2	0.3%
2012Wayne Rooney	2	0.3%
2012Mesut Özil	2	0.3%
2012Yaya Touré	2	0.3%
2012Robin van Persie	2	0.3%
2013Andrés Iniesta	2	0.3%
2012Didier Drogba	2	0.3%
2012Andrea Pirlo	2	0.3%
2012Iker Casillas	2	0.3%
2012Radamel Falcao	2	0.3%
2012Xavi	2	0.3%
2018Kylian Mbappé	2	0.3%
2004Adriano	2	0.3%
1999Nwankwo Kanu	2	0.3%
2016Kevin De Bruyne	2	0.3%
Other values (544)	568	91.8%

Frequencies of value counts

Unique

Unique	520 ?
Unique (%)	84.0%

Histogram of lengths of the category

Length

Max length	29
Median length	17
Mean length	16.75767367
Min length	7

Overview of Unicode Properties

Unique unicode characters	79
Unique unicode categories	6 ?
Unique unicode scripts	2 ?
Unique unicode blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
0	788	7.6%
a	767	7.4%
e	677	6.5%
i	621	6.0%
	589	5.7%
2	570	5.5%
r	530	5.1%
n	529	5.1%
o	521	5.0%
1	431	4.2%
l	358	3.5%
s	300	2.9%
9	298	2.9%
d	238	2.3%
u	190	1.8%
t	188	1.8%
m	124	1.2%
h	122	1.2%
g	120	1.2%
R	120	1.2%
y	102	1.0%
c	100	1.0%
b	97	0.9%
M	95	0.9%
7	91	0.9%
Other values (54)	1807	17.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6092	58.7%
Decimal Number	2476	23.9%
Uppercase Letter	1200	11.6%
Space Separator	589	5.7%
Other Punctuation	10	0.1%
Dash Punctuation	6	0.1%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	788	31.8%
2	570	23.0%
1	431	17.4%
9	298	12.0%
7	91	3.7%
8	78	3.2%
6	75	3.0%
3	59	2.4%
4	44	1.8%
5	42	1.7%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
R	120	10.0%
M	95	7.9%
D	90	7.5%
S	80	6.7%
B	77	6.4%
A	76	6.3%
C	66	5.5%
L	66	5.5%
P	63	5.2%
G	60	5.0%
F	56	4.7%
K	53	4.4%
T	51	4.2%
E	38	3.2%
H	29	2.4%
N	27	2.2%
J	26	2.2%
Z	26	2.2%
I	22	1.8%
V	21	1.8%
O	13	1.1%
X	12	1.0%
Y	11	0.9%
W	11	0.9%
Ö	6	0.5%
Other values (3)	5	0.4%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
a	767	12.6%
e	677	11.1%
i	621	10.2%
r	530	8.7%
n	529	8.7%
o	521	8.6%
l	358	5.9%
s	300	4.9%
d	238	3.9%
u	190	3.1%
t	188	3.1%
m	124	2.0%
h	122	2.0%
g	120	2.0%
y	102	1.7%
c	100	1.6%
b	97	1.6%
v	90	1.5%
k	72	1.2%
z	59	1.0%
é	55	0.9%
p	48	0.8%
f	42	0.7%
w	26	0.4%
á	26	0.4%
Other values (13)	90	1.5%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	589	100.0%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
'	10	100.0%

Most frequent Dash Punctuation characters

Value	Count	Frequency (%)
-	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7292	70.3%
Common	3081	29.7%

Most frequent Common characters

Value	Count	Frequency (%)
0	788	25.6%
	589	19.1%
2	570	18.5%
1	431	14.0%
9	298	9.7%
7	91	3.0%
8	78	2.5%
6	75	2.4%
3	59	1.9%
4	44	1.4%
5	42	1.4%
'	10	0.3%
-	6	0.2%

Most frequent Latin characters

Value	Count	Frequency (%)
a	767	10.5%
e	677	9.3%
i	621	8.5%
r	530	7.3%
n	529	7.3%
o	521	7.1%
l	358	4.9%
s	300	4.1%
d	238	3.3%
u	190	2.6%
t	188	2.6%
m	124	1.7%
h	122	1.7%
g	120	1.6%
R	120	1.6%
y	102	1.4%
c	100	1.4%
b	97	1.3%
M	95	1.3%
D	90	1.2%
v	90	1.2%
S	80	1.1%
B	77	1.1%
A	76	1.0%
k	72	1.0%
Other values (41)	1008	13.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10219	98.5%
None	154	1.5%

Most frequent ASCII characters

Value	Count	Frequency (%)
0	788	7.7%
a	767	7.5%
e	677	6.6%
i	621	6.1%
	589	5.8%
2	570	5.6%
r	530	5.2%
n	529	5.2%
o	521	5.1%
1	431	4.2%
l	358	3.5%
s	300	2.9%
9	298	2.9%
d	238	2.3%
u	190	1.9%
t	188	1.8%
m	124	1.2%
h	122	1.2%
g	120	1.2%
R	120	1.2%
y	102	1.0%
c	100	1.0%
b	97	0.9%
M	95	0.9%
7	91	0.9%
Other values (38)	1653	16.2%

Most frequent None characters

Value	Count	Frequency (%)
é	55	35.7%
á	26	16.9%
ü	18	11.7%
í	15	9.7%
ú	10	6.5%
ó	6	3.9%
Ö	6	3.9%
à	4	2.6%
ö	3	1.9%
Š	2	1.3%
ä	2	1.3%
É	2	1.3%
ž	2	1.3%
š	1	0.6%
Á	1	0.6%
ë	1	0.6%

Nom
Categorical

HIGH CARDINALITY

Distinct	221
Distinct (%)	35.7%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

Cristiano Ronaldo	16
Lionel Messi	14
Zinédine Zidane	11
Thierry Henry	9
Gianluigi Buffon	9
Other values (216)	560

Common Values
Overview

Value	Count	Frequency (%)
Cristiano Ronaldo	16	2.6%
Lionel Messi	14	2.3%
Zinédine Zidane	11	1.8%
Thierry Henry	9	1.5%
Gianluigi Buffon	9	1.5%
Didier Drogba	9	1.5%
Andrés Iniesta	9	1.5%
Karim Benzema	8	1.3%
Xavi	8	1.3%
Sergio Agüero	8	1.3%
Samuel Eto'o	8	1.3%
Sergio Ramos	7	1.1%
Manuel Neuer	7	1.1%
Yaya Touré	7	1.1%
Luis Suárez	7	1.1%
Luís Figo	7	1.1%
Eden Hazard	7	1.1%
Thomas Müller	7	1.1%
Kaká	7	1.1%
Wayne Rooney	7	1.1%
Iker Casillas	7	1.1%
David Beckham	6	1.0%
Rivaldo	6	1.0%
Alessandro Del Piero	6	1.0%
Andrea Pirlo	6	1.0%
Other values (196)	416	67.2%

Frequencies of value counts

Unique

Unique	91 ?
Unique (%)	14.7%

Histogram of lengths of the category

Length

Max length	25
Median length	13
Mean length	12.75767367
Min length	3

Overview of Unicode Properties

Unique unicode characters	69
Unique unicode categories	5 ?
Unique unicode scripts	2 ?
Unique unicode blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
a	767	9.7%
e	677	8.6%
i	621	7.9%
	589	7.5%
r	530	6.7%
n	529	6.7%
o	521	6.6%
l	358	4.5%
s	300	3.8%
d	238	3.0%
u	190	2.4%
t	188	2.4%
m	124	1.6%
h	122	1.5%
g	120	1.5%
R	120	1.5%
y	102	1.3%
c	100	1.3%
b	97	1.2%
M	95	1.2%
D	90	1.1%
v	90	1.1%
S	80	1.0%
B	77	1.0%
A	76	1.0%
Other values (44)	1096	13.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6092	77.1%
Uppercase Letter	1200	15.2%
Space Separator	589	7.5%
Other Punctuation	10	0.1%
Dash Punctuation	6	0.1%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
R	120	10.0%
M	95	7.9%
D	90	7.5%
S	80	6.7%
B	77	6.4%
A	76	6.3%
C	66	5.5%
L	66	5.5%
P	63	5.2%
G	60	5.0%
F	56	4.7%
K	53	4.4%
T	51	4.2%
E	38	3.2%
H	29	2.4%
N	27	2.2%
J	26	2.2%
Z	26	2.2%
I	22	1.8%
V	21	1.8%
O	13	1.1%
X	12	1.0%
Y	11	0.9%
W	11	0.9%
Ö	6	0.5%
Other values (3)	5	0.4%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
a	767	12.6%
e	677	11.1%
i	621	10.2%
r	530	8.7%
n	529	8.7%
o	521	8.6%
l	358	5.9%
s	300	4.9%
d	238	3.9%
u	190	3.1%
t	188	3.1%
m	124	2.0%
h	122	2.0%
g	120	2.0%
y	102	1.7%
c	100	1.6%
b	97	1.6%
v	90	1.5%
k	72	1.2%
z	59	1.0%
é	55	0.9%
p	48	0.8%
f	42	0.7%
w	26	0.4%
á	26	0.4%
Other values (13)	90	1.5%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	589	100.0%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
'	10	100.0%

Most frequent Dash Punctuation characters

Value	Count	Frequency (%)
-	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7292	92.3%
Common	605	7.7%

Most frequent Latin characters

Value	Count	Frequency (%)
a	767	10.5%
e	677	9.3%
i	621	8.5%
r	530	7.3%
n	529	7.3%
o	521	7.1%
l	358	4.9%
s	300	4.1%
d	238	3.3%
u	190	2.6%
t	188	2.6%
m	124	1.7%
h	122	1.7%
g	120	1.6%
R	120	1.6%
y	102	1.4%
c	100	1.4%
b	97	1.3%
M	95	1.3%
D	90	1.2%
v	90	1.2%
S	80	1.1%
B	77	1.1%
A	76	1.0%
k	72	1.0%
Other values (41)	1008	13.8%

Most frequent Common characters

Value	Count	Frequency (%)
	589	97.4%
'	10	1.7%
-	6	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7743	98.0%
None	154	2.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
a	767	9.9%
e	677	8.7%
i	621	8.0%
	589	7.6%
r	530	6.8%
n	529	6.8%
o	521	6.7%
l	358	4.6%
s	300	3.9%
d	238	3.1%
u	190	2.5%
t	188	2.4%
m	124	1.6%
h	122	1.6%
g	120	1.5%
R	120	1.5%
y	102	1.3%
c	100	1.3%
b	97	1.3%
M	95	1.2%
D	90	1.2%
v	90	1.2%
S	80	1.0%
B	77	1.0%
A	76	1.0%
Other values (28)	942	12.2%

Most frequent None characters

Value	Count	Frequency (%)
é	55	35.7%
á	26	16.9%
ü	18	11.7%
í	15	9.7%
ú	10	6.5%
ó	6	3.9%
Ö	6	3.9%
à	4	2.6%
ö	3	1.9%
Š	2	1.3%
ä	2	1.3%
É	2	1.3%
ž	2	1.3%
š	1	0.6%
Á	1	0.6%
ë	1	0.6%

Pays
Categorical

HIGH CORRELATION

Distinct	41
Distinct (%)	6.6%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

France	79
Espagne	77
Allemagne	65
Brésil	63
Italie	58
Other values (36)	277

Common Values
Overview

Value	Count	Frequency (%)
France	79	12.8%
Espagne	77	12.4%
Allemagne	65	10.5%
Brésil	63	10.2%
Italie	58	9.4%
Argentine	43	6.9%
Angleterre	41	6.6%
Pays-Bas	34	5.5%
Portugal	30	4.8%
Belgique	16	2.6%
Uruguay	16	2.6%
Côte d’Ivoire	12	1.9%
Pays de Galles	10	1.6%
Cameroun	8	1.3%
Colombie	7	1.1%
Pologne	6	1.0%
Sénégal	5	0.8%
Chili	4	0.6%
Côte d'Ivoire	4	0.6%
République tchèque	3	0.5%
Danemark	3	0.5%
Ghana	3	0.5%
Gabon	3	0.5%
Nigeria	3	0.5%
Grèce	2	0.3%
Other values (16)	24	3.9%

Frequencies of value counts

Unique

Unique	8 ?
Unique (%)	1.3%

Histogram of lengths of the category

Length

Max length	20
Median length	7
Mean length	7.765751212
Min length	4

Overview of Unicode Properties

Unique unicode characters	47
Unique unicode categories	6 ?
Unique unicode scripts	2 ?
Unique unicode blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
e	701	14.6%
a	455	9.5%
l	395	8.2%
n	388	8.1%
r	359	7.5%
g	312	6.5%
i	244	5.1%
s	230	4.8%
t	197	4.1%
A	151	3.1%
B	117	2.4%
u	106	2.2%
o	97	2.0%
é	88	1.8%
c	86	1.8%
m	84	1.7%
p	84	1.7%
F	80	1.7%
P	80	1.7%
E	77	1.6%
I	76	1.6%
y	62	1.3%
	43	0.9%
C	38	0.8%
-	38	0.8%
Other values (22)	219	4.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4023	83.7%
Uppercase Letter	685	14.3%
Space Separator	43	0.9%
Dash Punctuation	38	0.8%
Final Punctuation	12	0.2%
Other Punctuation	6	0.1%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
A	151	22.0%
B	117	17.1%
F	80	11.7%
P	80	11.7%
E	77	11.2%
I	76	11.1%
C	38	5.5%
G	18	2.6%
U	16	2.3%
S	9	1.3%
R	6	0.9%
T	5	0.7%
D	3	0.4%
N	3	0.4%
H	2	0.3%
É	2	0.3%
L	1	0.1%
M	1	0.1%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
e	701	17.4%
a	455	11.3%
l	395	9.8%
n	388	9.6%
r	359	8.9%
g	312	7.8%
i	244	6.1%
s	230	5.7%
t	197	4.9%
u	106	2.6%
o	97	2.4%
é	88	2.2%
c	86	2.1%
m	84	2.1%
p	84	2.1%
y	62	1.5%
d	33	0.8%
q	26	0.6%
v	20	0.5%
b	18	0.4%
ô	16	0.4%
h	12	0.3%
è	5	0.1%
k	3	0.1%
z	2	< 0.1%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	43	100.0%

Most frequent Dash Punctuation characters

Value	Count	Frequency (%)
-	38	100.0%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
'	6	100.0%

Most frequent Final Punctuation characters

Value	Count	Frequency (%)
’	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4708	97.9%
Common	99	2.1%

Most frequent Latin characters

Value	Count	Frequency (%)
e	701	14.9%
a	455	9.7%
l	395	8.4%
n	388	8.2%
r	359	7.6%
g	312	6.6%
i	244	5.2%
s	230	4.9%
t	197	4.2%
A	151	3.2%
B	117	2.5%
u	106	2.3%
o	97	2.1%
é	88	1.9%
c	86	1.8%
m	84	1.8%
p	84	1.8%
F	80	1.7%
P	80	1.7%
E	77	1.6%
I	76	1.6%
y	62	1.3%
C	38	0.8%
d	33	0.7%
q	26	0.6%
Other values (18)	142	3.0%

Most frequent Common characters

Value	Count	Frequency (%)
	43	43.4%
-	38	38.4%
’	12	12.1%
'	6	6.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4684	97.4%
None	111	2.3%
Punctuation	12	0.2%

Most frequent ASCII characters

Value	Count	Frequency (%)
e	701	15.0%
a	455	9.7%
l	395	8.4%
n	388	8.3%
r	359	7.7%
g	312	6.7%
i	244	5.2%
s	230	4.9%
t	197	4.2%
A	151	3.2%
B	117	2.5%
u	106	2.3%
o	97	2.1%
c	86	1.8%
m	84	1.8%
p	84	1.8%
F	80	1.7%
P	80	1.7%
E	77	1.6%
I	76	1.6%
y	62	1.3%
	43	0.9%
C	38	0.8%
-	38	0.8%
d	33	0.7%
Other values (17)	151	3.2%

Most frequent None characters

Value	Count	Frequency (%)
é	88	79.3%
ô	16	14.4%
è	5	4.5%
É	2	1.8%

Most frequent Punctuation characters

Value	Count	Frequency (%)
’	12	100.0%

Club
Categorical

HIGH CARDINALITY

Distinct	138
Distinct (%)	22.3%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

Real Madrid	81
FC Barcelone	71
Bayern Munich	54
Manchester United	36
Juventus	24
Other values (133)	353

Common Values
Overview

Value	Count	Frequency (%)
Real Madrid	81	13.1%
FC Barcelone	71	11.5%
Bayern Munich	54	8.7%
Manchester United	36	5.8%
Juventus	24	3.9%
Chelsea	23	3.7%
Manchester City	22	3.6%
Milan AC	19	3.1%
Arsenal	16	2.6%
Liverpool FC	15	2.4%
Inter Milan	13	2.1%
Liverpool	12	1.9%
Paris Saint-Germain	11	1.8%
Borussia Dortmund	10	1.6%
Atlético Madrid	9	1.5%
Arsenal FC	7	1.1%
Juventus de Turin	7	1.1%
Tottenham Hotspur	7	1.1%
Chelsea FC	6	1.0%
Valence CF	6	1.0%
AS Roma	6	1.0%
Juventus FC	5	0.8%
Lazio Rome	5	0.8%
Fiorentina AC	4	0.6%
Milan	4	0.6%
Other values (113)	146	23.6%

Frequencies of value counts

Unique

Unique	83 ?
Unique (%)	13.4%

Histogram of lengths of the category

Length

Max length	44
Median length	12
Mean length	13.84006462
Min length	4

Overview of Unicode Properties

Unique unicode characters	55
Unique unicode categories	6 ?
Unique unicode scripts	2 ?
Unique unicode blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
e	938	10.9%
a	766	8.9%
	723	8.4%
n	619	7.2%
r	580	6.8%
i	511	6.0%
l	446	5.2%
t	361	4.2%
d	356	4.2%
M	339	4.0%
o	313	3.7%
c	281	3.3%
s	275	3.2%
C	264	3.1%
u	225	2.6%
h	188	2.2%
B	173	2.0%
F	161	1.9%
R	126	1.5%
A	106	1.2%
y	98	1.1%
v	95	1.1%
m	70	0.8%
S	61	0.7%
L	56	0.7%
Other values (30)	436	5.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6266	73.1%
Uppercase Letter	1542	18.0%
Space Separator	723	8.4%
Other Punctuation	17	0.2%
Dash Punctuation	15	0.2%
Decimal Number	4	< 0.1%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
M	339	22.0%
C	264	17.1%
B	173	11.2%
F	161	10.4%
R	126	8.2%
A	106	6.9%
S	61	4.0%
L	56	3.6%
U	54	3.5%
J	52	3.4%
P	24	1.6%
I	23	1.5%
G	20	1.3%
T	18	1.2%
V	15	1.0%
D	14	0.9%
H	10	0.6%
N	8	0.5%
W	7	0.5%
O	5	0.3%
K	4	0.3%
E	2	0.1%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
e	938	15.0%
a	766	12.2%
n	619	9.9%
r	580	9.3%
i	511	8.2%
l	446	7.1%
t	361	5.8%
d	356	5.7%
o	313	5.0%
c	281	4.5%
s	275	4.4%
u	225	3.6%
h	188	3.0%
y	98	1.6%
v	95	1.5%
m	70	1.1%
p	53	0.8%
é	26	0.4%
z	12	0.2%
b	11	0.2%
g	11	0.2%
k	9	0.1%
f	5	0.1%
q	5	0.1%
ê	4	0.1%
Other values (3)	8	0.1%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	723	100.0%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
/	17	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	2	50.0%
4	2	50.0%

Most frequent Dash Punctuation characters

Value	Count	Frequency (%)
-	15	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7808	91.1%
Common	759	8.9%

Most frequent Latin characters

Value	Count	Frequency (%)
e	938	12.0%
a	766	9.8%
n	619	7.9%
r	580	7.4%
i	511	6.5%
l	446	5.7%
t	361	4.6%
d	356	4.6%
M	339	4.3%
o	313	4.0%
c	281	3.6%
s	275	3.5%
C	264	3.4%
u	225	2.9%
h	188	2.4%
B	173	2.2%
F	161	2.1%
R	126	1.6%
A	106	1.4%
y	98	1.3%
v	95	1.2%
m	70	0.9%
S	61	0.8%
L	56	0.7%
U	54	0.7%
Other values (25)	346	4.4%

Most frequent Common characters

Value	Count	Frequency (%)
	723	95.3%
/	17	2.2%
-	15	2.0%
0	2	0.3%
4	2	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8537	99.6%
None	30	0.4%

Most frequent ASCII characters

Value	Count	Frequency (%)
e	938	11.0%
a	766	9.0%
	723	8.5%
n	619	7.3%
r	580	6.8%
i	511	6.0%
l	446	5.2%
t	361	4.2%
d	356	4.2%
M	339	4.0%
o	313	3.7%
c	281	3.3%
s	275	3.2%
C	264	3.1%
u	225	2.6%
h	188	2.2%
B	173	2.0%
F	161	1.9%
R	126	1.5%
A	106	1.2%
y	98	1.1%
v	95	1.1%
m	70	0.8%
S	61	0.7%
L	56	0.7%
Other values (28)	406	4.8%

Most frequent None characters

Value	Count	Frequency (%)
é	26	86.7%
ê	4	13.3%

%
Categorical

HIGH CARDINALITY
MISSING

Distinct	317
Distinct (%)	52.3%
Missing	13
Missing (%)	2.1%
Memory size	5.0 KiB

0.00130718954248366	21
0.0	17
0.00261437908496732	15
0.00641025641025641	12
0.00392156862745098	12
Other values (312)	529

Common Values
Overview

Value	Count	Frequency (%)
0.00130718954248366	21	3.4%
0.0	17	2.7%
0.00261437908496732	15	2.4%
0.00641025641025641	12	1.9%
0.00392156862745098	12	1.9%
0.001282051282051282	11	1.8%
0.002564102564102564	10	1.6%
0.005128205128205128	9	1.5%
0.0038461538461538464	9	1.5%
0.00522875816993464	9	1.5%
0.0006944444444444445	8	1.3%
0.013071895424836602	7	1.1%
0.0020833333333333333	7	1.1%
0.001388888888888889	6	1.0%
0.008974358974358974	6	1.0%
0.006535947712418301	6	1.0%
0.011764705882352941	6	1.0%
0.003472222222222222	5	0.8%
0.014102564102564103	5	0.8%
0.004861111111111111	5	0.8%
0.01437908496732026	5	0.8%
0,22 %	4	0.6%
0,43 %	4	0.6%
0,11 %	4	0.6%
0,39 %	4	0.6%
Other values (292)	399	64.5%
(Missing)	13	2.1%

Frequencies of value counts

Unique

Unique	212 ?
Unique (%)	35.0%

Histogram of lengths of the category

Length

Max length	22
Median length	19
Mean length	15.75444265
Min length	3

Overview of Unicode Properties

Unique unicode characters	16
Unique unicode categories	4 ?
Unique unicode scripts	2 ?
Unique unicode blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
0	1791	18.4%
2	961	9.9%
1	921	9.4%
4	861	8.8%
6	829	8.5%
3	805	8.3%
5	767	7.9%
8	753	7.7%
7	641	6.6%
9	516	5.3%
.	475	4.9%
,	131	1.3%
	131	1.3%
%	131	1.3%
n	26	0.3%
a	13	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8845	90.7%
Other Punctuation	737	7.6%
Space Separator	131	1.3%
Lowercase Letter	39	0.4%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	1791	20.2%
2	961	10.9%
1	921	10.4%
4	861	9.7%
6	829	9.4%
3	805	9.1%
5	767	8.7%
8	753	8.5%
7	641	7.2%
9	516	5.8%

Most frequent Other Punctuation characters

Value	Count	Frequency (%)
.	475	64.5%
,	131	17.8%
%	131	17.8%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	131	100.0%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
n	26	66.7%
a	13	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	9713	99.6%
Latin	39	0.4%

Most frequent Common characters

Value	Count	Frequency (%)
0	1791	18.4%
2	961	9.9%
1	921	9.5%
4	861	8.9%
6	829	8.5%
3	805	8.3%
5	767	7.9%
8	753	7.8%
7	641	6.6%
9	516	5.3%
.	475	4.9%
,	131	1.3%
	131	1.3%
%	131	1.3%

Most frequent Latin characters

Value	Count	Frequency (%)
n	26	66.7%
a	13	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9621	98.7%
None	131	1.3%

Most frequent ASCII characters

Value	Count	Frequency (%)
0	1791	18.6%
2	961	10.0%
1	921	9.6%
4	861	8.9%
6	829	8.6%
3	805	8.4%
5	767	8.0%
8	753	7.8%
7	641	6.7%
9	516	5.4%
.	475	4.9%
,	131	1.4%
%	131	1.4%
n	26	0.3%
a	13	0.1%

Most frequent None characters

Value	Count	Frequency (%)
	131	100.0%

UCL_JK
Categorical

HIGH CARDINALITY

Distinct	304
Distinct (%)	49.1%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

2013Bayern Munich	11
2012Real Madrid	11
2012Barcelona	8
2011Barcelona	7
2014Bayern Munich	7
Other values (299)	575

Common Values
Overview

Value	Count	Frequency (%)
2013Bayern Munich	11	1.8%
2012Real Madrid	11	1.8%
2012Barcelona	8	1.3%
2011Barcelona	7	1.1%
2014Bayern Munich	7	1.1%
1999Manchester Utd	7	1.1%
2019Liverpool	7	1.1%
2018Real Madrid	7	1.1%
2007Milan	6	1.0%
2017Real Madrid	6	1.0%
1997Juventus	6	1.0%
2009Barcelona	6	1.0%
2012Manchester City	6	1.0%
2010Barcelona	5	0.8%
2015Barcelona	5	0.8%
2013Barcelona	5	0.8%
2010Bayern Munich	5	0.8%
2006Barcelona	5	0.8%
2005Chelsea	5	0.8%
2011Real Madrid	5	0.8%
2015Real Madrid	5	0.8%
1998Real Madrid	5	0.8%
2016Real Madrid	5	0.8%
2014Real Madrid	5	0.8%
2019Manchester City	5	0.8%
Other values (279)	464	75.0%

Frequencies of value counts

Unique

Unique	160 ?
Unique (%)	25.8%

Histogram of lengths of the category

Length

Max length	23
Median length	13
Mean length	13.62520194
Min length	8

Overview of Unicode Properties

Unique unicode characters	60
Unique unicode categories	5 ?
Unique unicode scripts	2 ?
Unique unicode blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
0	790	9.4%
a	693	8.2%
e	621	7.4%
2	570	6.8%
r	458	5.4%
n	450	5.3%
1	431	5.1%
l	356	4.2%
i	339	4.0%
9	298	3.5%
t	282	3.3%
d	277	3.3%
M	266	3.2%
	253	3.0%
c	246	2.9%
o	245	2.9%
s	198	2.3%
u	176	2.1%
h	162	1.9%
B	146	1.7%
R	95	1.1%
7	91	1.1%
v	84	1.0%
y	81	1.0%
8	78	0.9%
Other values (35)	748	8.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4805	57.0%
Decimal Number	2480	29.4%
Uppercase Letter	884	10.5%
Space Separator	253	3.0%
Dash Punctuation	12	0.1%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	790	31.9%
2	570	23.0%
1	431	17.4%
9	298	12.0%
7	91	3.7%
8	78	3.1%
6	75	3.0%
3	59	2.4%
4	46	1.9%
5	42	1.7%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
M	266	30.1%
B	146	16.5%
R	95	10.7%
C	60	6.8%
L	49	5.5%
A	48	5.4%
J	46	5.2%
U	43	4.9%
S	21	2.4%
P	19	2.1%
I	15	1.7%
V	13	1.5%
D	12	1.4%
G	12	1.4%
F	10	1.1%
T	10	1.1%
W	8	0.9%
N	6	0.7%
E	2	0.2%
H	2	0.2%
K	1	0.1%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
a	693	14.4%
e	621	12.9%
r	458	9.5%
n	450	9.4%
l	356	7.4%
i	339	7.1%
t	282	5.9%
d	277	5.8%
c	246	5.1%
o	245	5.1%
s	198	4.1%
u	176	3.7%
h	162	3.4%
v	84	1.7%
y	81	1.7%
m	41	0.9%
p	34	0.7%
é	21	0.4%
z	10	0.2%
k	8	0.2%
b	6	0.1%
g	5	0.1%
f	4	0.1%
ñ	4	0.1%
x	2	< 0.1%
Other values (2)	2	< 0.1%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	253	100.0%

Most frequent Dash Punctuation characters

Value	Count	Frequency (%)
-	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5689	67.5%
Common	2745	32.5%

Most frequent Common characters

Value	Count	Frequency (%)
0	790	28.8%
2	570	20.8%
1	431	15.7%
9	298	10.9%
	253	9.2%
7	91	3.3%
8	78	2.8%
6	75	2.7%
3	59	2.1%
4	46	1.7%
5	42	1.5%
-	12	0.4%

Most frequent Latin characters

Value	Count	Frequency (%)
a	693	12.2%
e	621	10.9%
r	458	8.1%
n	450	7.9%
l	356	6.3%
i	339	6.0%
t	282	5.0%
d	277	4.9%
M	266	4.7%
c	246	4.3%
o	245	4.3%
s	198	3.5%
u	176	3.1%
h	162	2.8%
B	146	2.6%
R	95	1.7%
v	84	1.5%
y	81	1.4%
C	60	1.1%
L	49	0.9%
A	48	0.8%
J	46	0.8%
U	43	0.8%
m	41	0.7%
p	34	0.6%
Other values (23)	193	3.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8408	99.7%
None	26	0.3%

Most frequent ASCII characters

Value	Count	Frequency (%)
0	790	9.4%
a	693	8.2%
e	621	7.4%
2	570	6.8%
r	458	5.4%
n	450	5.4%
1	431	5.1%
l	356	4.2%
i	339	4.0%
9	298	3.5%
t	282	3.4%
d	277	3.3%
M	266	3.2%
	253	3.0%
c	246	2.9%
o	245	2.9%
s	198	2.4%
u	176	2.1%
h	162	1.9%
B	146	1.7%
R	95	1.1%
7	91	1.1%
v	84	1.0%
y	81	1.0%
8	78	0.9%
Other values (32)	722	8.6%

Most frequent None characters

Value	Count	Frequency (%)
é	21	80.8%
ñ	4	15.4%
ö	1	3.8%

won_UCL
Boolean

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

0	508
1	111

Common Values
Chart

Value	Count	Frequency (%)
0	508	82.1%
1	111	17.9%

Squad_JK
Categorical

HIGH CARDINALITY

Distinct	304
Distinct (%)	49.1%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

2013Bayern Munich	11
2012Real Madrid	11
2012Barcelona	8
2011Barcelona	7
2014Bayern Munich	7
Other values (299)	575

Common Values
Overview

Value	Count	Frequency (%)
2013Bayern Munich	11	1.8%
2012Real Madrid	11	1.8%
2012Barcelona	8	1.3%
2011Barcelona	7	1.1%
2014Bayern Munich	7	1.1%
1999Manchester Utd	7	1.1%
2019Liverpool	7	1.1%
2018Real Madrid	7	1.1%
2007Milan	6	1.0%
2017Real Madrid	6	1.0%
1997Juventus	6	1.0%
2009Barcelona	6	1.0%
2012Manchester City	6	1.0%
2010Barcelona	5	0.8%
2015Barcelona	5	0.8%
2013Barcelona	5	0.8%
2010Bayern Munich	5	0.8%
2006Barcelona	5	0.8%
2005Chelsea	5	0.8%
2011Real Madrid	5	0.8%
2015Real Madrid	5	0.8%
1998Real Madrid	5	0.8%
2016Real Madrid	5	0.8%
2014Real Madrid	5	0.8%
2019Manchester City	5	0.8%
Other values (279)	464	75.0%

Frequencies of value counts

Unique

Unique	160 ?
Unique (%)	25.8%

Histogram of lengths of the category

Length

Max length	23
Median length	13
Mean length	13.62520194
Min length	8

Overview of Unicode Properties

Unique unicode characters	60
Unique unicode categories	5 ?
Unique unicode scripts	2 ?
Unique unicode blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
0	790	9.4%
a	693	8.2%
e	621	7.4%
2	570	6.8%
r	458	5.4%
n	450	5.3%
1	431	5.1%
l	356	4.2%
i	339	4.0%
9	298	3.5%
t	282	3.3%
d	277	3.3%
M	266	3.2%
	253	3.0%
c	246	2.9%
o	245	2.9%
s	198	2.3%
u	176	2.1%
h	162	1.9%
B	146	1.7%
R	95	1.1%
7	91	1.1%
v	84	1.0%
y	81	1.0%
8	78	0.9%
Other values (35)	748	8.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4805	57.0%
Decimal Number	2480	29.4%
Uppercase Letter	884	10.5%
Space Separator	253	3.0%
Dash Punctuation	12	0.1%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	790	31.9%
2	570	23.0%
1	431	17.4%
9	298	12.0%
7	91	3.7%
8	78	3.1%
6	75	3.0%
3	59	2.4%
4	46	1.9%
5	42	1.7%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
M	266	30.1%
B	146	16.5%
R	95	10.7%
C	60	6.8%
L	49	5.5%
A	48	5.4%
J	46	5.2%
U	43	4.9%
S	21	2.4%
P	19	2.1%
I	15	1.7%
V	13	1.5%
D	12	1.4%
G	12	1.4%
F	10	1.1%
T	10	1.1%
W	8	0.9%
N	6	0.7%
E	2	0.2%
H	2	0.2%
K	1	0.1%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
a	693	14.4%
e	621	12.9%
r	458	9.5%
n	450	9.4%
l	356	7.4%
i	339	7.1%
t	282	5.9%
d	277	5.8%
c	246	5.1%
o	245	5.1%
s	198	4.1%
u	176	3.7%
h	162	3.4%
v	84	1.7%
y	81	1.7%
m	41	0.9%
p	34	0.7%
é	21	0.4%
z	10	0.2%
k	8	0.2%
b	6	0.1%
g	5	0.1%
f	4	0.1%
ñ	4	0.1%
x	2	< 0.1%
Other values (2)	2	< 0.1%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	253	100.0%

Most frequent Dash Punctuation characters

Value	Count	Frequency (%)
-	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5689	67.5%
Common	2745	32.5%

Most frequent Common characters

Value	Count	Frequency (%)
0	790	28.8%
2	570	20.8%
1	431	15.7%
9	298	10.9%
	253	9.2%
7	91	3.3%
8	78	2.8%
6	75	2.7%
3	59	2.1%
4	46	1.7%
5	42	1.5%
-	12	0.4%

Most frequent Latin characters

Value	Count	Frequency (%)
a	693	12.2%
e	621	10.9%
r	458	8.1%
n	450	7.9%
l	356	6.3%
i	339	6.0%
t	282	5.0%
d	277	4.9%
M	266	4.7%
c	246	4.3%
o	245	4.3%
s	198	3.5%
u	176	3.1%
h	162	2.8%
B	146	2.6%
R	95	1.7%
v	84	1.5%
y	81	1.4%
C	60	1.1%
L	49	0.9%
A	48	0.8%
J	46	0.8%
U	43	0.8%
m	41	0.7%
p	34	0.6%
Other values (23)	193	3.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8408	99.7%
None	26	0.3%

Most frequent ASCII characters

Value	Count	Frequency (%)
0	790	9.4%
a	693	8.2%
e	621	7.4%
2	570	6.8%
r	458	5.4%
n	450	5.4%
1	431	5.1%
l	356	4.2%
i	339	4.0%
9	298	3.5%
t	282	3.4%
d	277	3.3%
M	266	3.2%
	253	3.0%
c	246	2.9%
o	245	2.9%
s	198	2.4%
u	176	2.1%
h	162	1.9%
B	146	1.7%
R	95	1.1%
7	91	1.1%
v	84	1.0%
y	81	1.0%
8	78	0.9%
Other values (32)	722	8.6%

Most frequent None characters

Value	Count	Frequency (%)
é	21	80.8%
ñ	4	15.4%
ö	1	3.8%

Nation_JK
Categorical

HIGH CARDINALITY

Distinct	282
Distinct (%)	45.6%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

2012ESP	13
2013GER	10
1998FRA	8
2018FRA	8
2010ESP	7
Other values (277)	573

Common Values
Overview

Value	Count	Frequency (%)
2012ESP	13	2.1%
2013GER	10	1.6%
1998FRA	8	1.3%
2018FRA	8	1.3%
2010ESP	7	1.1%
2008ESP	7	1.1%
2011ESP	7	1.1%
2003ITA	7	1.1%
1997ITA	6	1.0%
2012ITA	6	1.0%
2014GER	6	1.0%
2007ITA	6	1.0%
2006ITA	6	1.0%
2009ESP	6	1.0%
2000FRA	6	1.0%
1998NED	5	0.8%
2010GER	5	0.8%
2018BRA	5	0.8%
2009BRA	5	0.8%
2005BRA	5	0.8%
1997GER	5	0.8%
1997FRA	5	0.8%
1997BRA	5	0.8%
2002BRA	5	0.8%
1996GER	5	0.8%
Other values (257)	460	74.3%

Frequencies of value counts

Unique

Unique	132 ?
Unique (%)	21.3%

Histogram of lengths of the category

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Overview of Unicode Properties

Unique unicode characters	33
Unique unicode categories	2 ?
Unique unicode scripts	2 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
0	788	18.2%
2	570	13.2%
1	431	9.9%
R	316	7.3%
9	298	6.9%
A	265	6.1%
E	249	5.7%
G	166	3.8%
P	112	2.6%
7	91	2.1%
N	89	2.1%
B	88	2.0%
I	85	2.0%
S	84	1.9%
F	80	1.8%
8	78	1.8%
6	75	1.7%
T	60	1.4%
3	59	1.4%
O	48	1.1%
L	47	1.1%
4	44	1.0%
C	42	1.0%
5	42	1.0%
D	37	0.9%
Other values (8)	89	2.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2476	57.1%
Uppercase Letter	1857	42.9%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	788	31.8%
2	570	23.0%
1	431	17.4%
9	298	12.0%
7	91	3.7%
8	78	3.2%
6	75	3.0%
3	59	2.4%
4	44	1.8%
5	42	1.7%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
R	316	17.0%
A	265	14.3%
E	249	13.4%
G	166	8.9%
P	112	6.0%
N	89	4.8%
B	88	4.7%
I	85	4.6%
S	84	4.5%
F	80	4.3%
T	60	3.2%
O	48	2.6%
L	47	2.5%
C	42	2.3%
D	37	2.0%
U	35	1.9%
V	18	1.0%
W	10	0.5%
H	9	0.5%
M	9	0.5%
Z	5	0.3%
Y	2	0.1%
K	1	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	2476	57.1%
Latin	1857	42.9%

Most frequent Common characters

Value	Count	Frequency (%)
0	788	31.8%
2	570	23.0%
1	431	17.4%
9	298	12.0%
7	91	3.7%
8	78	3.2%
6	75	3.0%
3	59	2.4%
4	44	1.8%
5	42	1.7%

Most frequent Latin characters

Value	Count	Frequency (%)
R	316	17.0%
A	265	14.3%
E	249	13.4%
G	166	8.9%
P	112	6.0%
N	89	4.8%
B	88	4.7%
I	85	4.6%
S	84	4.5%
F	80	4.3%
T	60	3.2%
O	48	2.6%
L	47	2.5%
C	42	2.3%
D	37	2.0%
U	35	1.9%
V	18	1.0%
W	10	0.5%
H	9	0.5%
M	9	0.5%
Z	5	0.3%
Y	2	0.1%
K	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4333	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
0	788	18.2%
2	570	13.2%
1	431	9.9%
R	316	7.3%
9	298	6.9%
A	265	6.1%
E	249	5.7%
G	166	3.8%
P	112	2.6%
7	91	2.1%
N	89	2.1%
B	88	2.0%
I	85	2.0%
S	84	1.9%
F	80	1.8%
8	78	1.8%
6	75	1.7%
T	60	1.4%
3	59	1.4%
O	48	1.1%
L	47	1.1%
4	44	1.0%
C	42	1.0%
5	42	1.0%
D	37	0.9%
Other values (8)	89	2.1%

winner_Bundesliga
Boolean

CONSTANT
REJECTED

Distinct	1
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

0	619

Common Values
Chart

Value	Count	Frequency (%)
0	619	100.0%

winner_C3
Boolean

CONSTANT
REJECTED

Distinct	1
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

0	619

Common Values
Chart

Value	Count	Frequency (%)
0	619	100.0%

finalist_C3
Boolean

CONSTANT
REJECTED

Distinct	1
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

0	619

Common Values
Chart

Value	Count	Frequency (%)
0	619	100.0%

winner_UCL
Boolean

CONSTANT
REJECTED

Distinct	1
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

0	619

Common Values
Chart

Value	Count	Frequency (%)
0	619	100.0%

finalist_UCL
Boolean

CONSTANT
REJECTED

Distinct	1
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

0	619

Common Values
Chart

Value	Count	Frequency (%)
0	619	100.0%

winner_Club WC
Boolean

CONSTANT
REJECTED

Distinct	1
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

0	619

Common Values
Chart

Value	Count	Frequency (%)
0	619	100.0%

finalist_Club WC
Boolean

CONSTANT
REJECTED

Distinct	1
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

0	619

Common Values
Chart

Value	Count	Frequency (%)
0	619	100.0%

winner_Copa America
Boolean

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

0	595
1	24

Common Values
Chart

Value	Count	Frequency (%)
0	595	96.1%
1	24	3.9%

finalist_Copa America
Boolean

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

0	610
1	9

Common Values
Chart

Value	Count	Frequency (%)
0	610	98.5%
1	9	1.5%

winner_Euro
Boolean

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

0	584
1	35

Common Values
Chart

Value	Count	Frequency (%)
0	584	94.3%
1	35	5.7%

finalist_Euro
Boolean

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

0	602
1	17

Common Values
Chart

Value	Count	Frequency (%)
0	602	97.3%
1	17	2.7%

winner_Liga
Boolean

CONSTANT
REJECTED

Distinct	1
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

0	619

Common Values
Chart

Value	Count	Frequency (%)
0	619	100.0%

winner_Ligue 1
Boolean

CONSTANT
REJECTED

Distinct	1
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

0	619

Common Values
Chart

Value	Count	Frequency (%)
0	619	100.0%

winner_PL
Boolean

CONSTANT
REJECTED

Distinct	1
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

0	619

Common Values
Chart

Value	Count	Frequency (%)
0	619	100.0%

winner_Serie A
Boolean

CONSTANT
REJECTED

Distinct	1
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

0	619

Common Values
Chart

Value	Count	Frequency (%)
0	619	100.0%

winner_WC
Boolean

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

0	579
1	40

Common Values
Chart

Value	Count	Frequency (%)
0	579	93.5%
1	40	6.5%

finalist_WC
Boolean

CONSTANT
REJECTED

Distinct	1
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	5.0 KiB

0	619

Common Values
Chart

Value	Count	Frequency (%)
0	619	100.0%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

First rows

	Season_End_Year	Squad	Comp	Player	Nation	Pos	Age	Born	MP_Playing	Starts_Playing	Min_Playing	Mins_Per_90_Playing	Gls	Ast	G_minus_PK	PK	PKatt	CrdY	CrdR	Gls_Per	Ast_Per	G+A_Per	G_minus_PK_Per	G+A_minus_PK_Per	Url	xG_Expected	npxG_Expected	xA_Expected	npxG+xA_Expected	xG_Per	xA_Per	xG+xA_Per	npxG_Per	npxG+xA_Per	BO_JK	Nom	Pays	Club	%	UCL_JK	won_UCL	Squad_JK	Nation_JK	winner_Euro
0	1996	Blackburn	Premier League	Alan Shearer	ENG	FW	24.0	1970.0	35.0	35.0	3150.0	35.0	31.0	7.0	28.0	3.0	3.0	4.0	0.0	0.89	0.2	1.09	0.80	1.0	https://fbref.com/en/players/438b3a51/Alan-Shearer	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1996Alan Shearer	Alan Shearer	Angleterre	Blackburn Rovers / Newcastle United	0.13986928104575164	1996Blackburn	0	1996Blackburn	1996ENG	0
1	1996	Juventus	Serie A	Alessandro Del Piero	ITA	FW,MF	20.0	1974.0	29.0	25.0	2111.0	23.5	6.0	NaN	6.0	0.0	NaN	3.0	0.0	0.26	NaN	NaN	0.26	NaN	https://fbref.com/en/players/80bc263c/Alessandro-Del-Piero	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1996Alessandro Del Piero	Alessandro Del Piero	Italie	Juventus	0.09019607843137255	1996Juventus	1	1996Juventus	1996ITA	0
2	1996	Bayern Munich	Bundesliga	Jürgen Klinsmann	GER	FW	31.0	1964.0	32.0	32.0	2722.0	30.2	16.0	NaN	13.0	3.0	NaN	0.0	0.0	0.53	NaN	NaN	0.43	NaN	https://fbref.com/en/players/7f97bf11/Jurgen-Klinsmann	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1996Jürgen Klinsmann	Jürgen Klinsmann	Allemagne	Bayern Munich	0.0784313725490196	1996Bayern Munich	0	1996Bayern Munich	1996GER	1
3	1996	Dortmund	Bundesliga	Matthias Sammer	GER	DF,MF	27.0	1967.0	22.0	22.0	1965.0	21.8	3.0	NaN	3.0	0.0	NaN	10.0	0.0	0.14	NaN	NaN	0.14	NaN	https://fbref.com/en/players/d8ae851f/Matthias-Sammer	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1996Matthias Sammer	Matthias Sammer	Allemagne	Borussia Dortmund	0.18823529411764706	1996Dortmund	0	1996Dortmund	1996GER	1
4	1996	Blackburn	Premier League	Alan Shearer	ENG	FW	24.0	1970.0	35.0	35.0	3150.0	35.0	31.0	7.0	28.0	3.0	3.0	4.0	0.0	0.89	0.2	1.09	0.80	1.0	https://fbref.com/en/players/438b3a51/Alan-Shearer	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1996Alan Shearer	Alan Shearer	Angleterre	Blackburn Rovers / Newcastle United	0.13986928104575164	1996Blackburn	0	1996Blackburn	1996ENG	0
5	1996	Juventus	Serie A	Alessandro Del Piero	ITA	FW,MF	20.0	1974.0	29.0	25.0	2111.0	23.5	6.0	NaN	6.0	0.0	NaN	3.0	0.0	0.26	NaN	NaN	0.26	NaN	https://fbref.com/en/players/80bc263c/Alessandro-Del-Piero	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1996Alessandro Del Piero	Alessandro Del Piero	Italie	Juventus	0.09019607843137255	1996Juventus	1	1996Juventus	1996ITA	0
6	1996	Bayern Munich	Bundesliga	Jürgen Klinsmann	GER	FW	31.0	1964.0	32.0	32.0	2722.0	30.2	16.0	NaN	13.0	3.0	NaN	0.0	0.0	0.53	NaN	NaN	0.43	NaN	https://fbref.com/en/players/7f97bf11/Jurgen-Klinsmann	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1996Jürgen Klinsmann	Jürgen Klinsmann	Allemagne	Bayern Munich	0.0784313725490196	1996Bayern Munich	0	1996Bayern Munich	1996GER	1
7	1996	Sevilla	La Liga	Davor Šuker	CRO	FW	27.0	1968.0	32.0	31.0	2629.0	29.2	16.0	NaN	14.0	2.0	NaN	11.0	3.0	0.55	NaN	NaN	0.48	NaN	https://fbref.com/en/players/f3580cae/Davor-Suker	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1996Davor Šuker	Davor Šuker	Croatie	FC Séville / Real Madrid	0.04967320261437908	1996Sevilla	0	1996Sevilla	1996CRO	0
8	1996	Milan	Serie A	Marcel Desailly	FRA	DF,MF	26.0	1968.0	32.0	32.0	2872.0	31.9	2.0	NaN	2.0	0.0	NaN	5.0	0.0	0.06	NaN	NaN	0.06	NaN	https://fbref.com/en/players/9dfb97aa/Marcel-Desailly	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1996Marcel Desailly	Marcel Desailly	France	Milan AC	0.02875816993464052	1996Milan	0	1996Milan	1996FRA	0
9	1996	Paris S-G	Division 1	Youri Djorkaeff	FRA	FW,MF	27.0	1968.0	35.0	33.0	2898.0	32.2	13.0	NaN	12.0	1.0	NaN	5.0	0.0	0.40	NaN	NaN	0.37	NaN	https://fbref.com/en/players/e9f1bedd/Youri-Djorkaeff	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1996Youri Djorkaeff	Youri Djorkaeff	France	PSG /Inter Milan	0.026143790849673203	1996Paris S-G	0	1996Paris S-G	1996FRA	0

Last rows

	Season_End_Year	Squad	Comp	Player	Nation	Pos	Age	Born	MP_Playing	Starts_Playing	Min_Playing	Mins_Per_90_Playing	Gls	Ast	G_minus_PK	PK	PKatt	CrdY	CrdR	Gls_Per	Ast_Per	G+A_Per	G_minus_PK_Per	G+A_minus_PK_Per	Url	xG_Expected	npxG_Expected	xA_Expected	npxG+xA_Expected	xG_Per	xA_Per	xG+xA_Per	npxG_Per	npxG+xA_Per	BO_JK	Nom	Pays	Club	%	UCL_JK	won_UCL	Squad_JK	Nation_JK	winner_Copa America
609	2019	Atlético Madrid	La Liga	Antoine Griezmann	FRA	FW	27.0	1991.0	37.0	37.0	3198.0	35.5	15.0	8.0	12.0	3.0	3.0	5.0	0.0	0.42	0.23	0.65	0.34	0.56	https://fbref.com/en/players/df69b544/Antoine-Griezmann	13.7	11.4	6.8	18.2	0.39	0.19	0.58	0.32	0.51	2019Antoine Griezmann	Antoine Griezmann	France	Atlético de Madrid FC Barcelone	0.0031960227272727275	2019Atlético Madrid	0	2019Atlético Madrid	2019FRA	0
610	2019	Liverpool	Premier League	Trent Alexander-Arnold	ENG	DF	19.0	1998.0	29.0	27.0	2462.0	27.4	1.0	12.0	1.0	0.0	0.0	3.0	0.0	0.04	0.44	0.48	0.04	0.48	https://fbref.com/en/players/cd1acf9d/Trent-Alexander-Arnold	1.4	1.4	6.3	7.7	0.05	0.23	0.28	0.05	0.28	2019Trent Alexander-Arnold	Trent Alexander-Arnold	Angleterre	Liverpool FC	0.002840909090909091	2019Liverpool	1	2019Liverpool	2019ENG	0
611	2019	Arsenal	Premier League	Pierre-Emerick Aubameyang	GAB	FW	29.0	1989.0	36.0	30.0	2726.0	30.3	22.0	5.0	18.0	4.0	5.0	0.0	0.0	0.73	0.17	0.89	0.59	0.76	https://fbref.com/en/players/d5dd5f1f/Pierre-Emerick-Aubameyang	20.1	16.2	4.2	20.4	0.67	0.14	0.80	0.53	0.67	2019Pierre-Emerick Aubameyang	Pierre-Emerick Aubameyang	Gabon	Arsenal FC	0.0017755681818181818	2019Arsenal	0	2019Arsenal	2019GAB	0
612	2019	Tottenham	Premier League	Son Heung-min	KOR	FW,MF	26.0	1992.0	31.0	23.0	2039.0	22.7	12.0	6.0	12.0	0.0	0.0	2.0	1.0	0.53	0.26	0.79	0.53	0.79	https://fbref.com/en/players/92e7e919/Son-Heung-min	7.7	7.7	3.3	11.1	0.34	0.15	0.49	0.34	0.49	2019Son Heung-min	Son Heung-min	Corée du Sud	Tottenham Hotspur	0.0014204545454545455	2019Tottenham	0	2019Tottenham	2019KOR	0
613	2019	Tottenham	Premier League	Hugo Lloris	FRA	GK	31.0	1986.0	33.0	33.0	2970.0	33.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.00	0.00	0.00	0.00	0.00	https://fbref.com/en/players/8f62b6ee/Hugo-Lloris	0.0	0.0	0.0	0.0	0.00	0.00	0.00	0.00	0.00	2019Hugo Lloris	Hugo Lloris	France	Tottenham Hotspur	0.001065340909090909	2019Tottenham	0	2019Tottenham	2019FRA	0
614	2019	Napoli	Serie A	Kalidou Koulibaly	SEN	DF	27.0	1991.0	35.0	35.0	3132.0	34.8	2.0	2.0	2.0	0.0	0.0	10.0	1.0	0.06	0.06	0.11	0.06	0.11	https://fbref.com/en/players/da974c7b/Kalidou-Koulibaly	3.2	3.2	0.2	3.5	0.09	0.01	0.10	0.09	0.10	2019Kalidou Koulibaly	Kalidou Koulibaly	Sénégal	SSC Naples	0.0007102272727272727	2019Napoli	0	2019Napoli	2019SEN	0
615	2019	Barcelona	La Liga	Marc-André ter Stegen	GER	GK	26.0	1992.0	35.0	35.0	3150.0	35.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.00	0.00	0.00	0.00	0.00	https://fbref.com/en/players/6f51e382/Marc-Andre-ter-Stegen	0.0	0.0	0.0	0.0	0.00	0.00	0.00	0.00	0.00	2019Marc-André ter Stegen	Marc-André ter Stegen	Allemagne	FC Barcelone	0.0007102272727272727	2019Barcelona	0	2019Barcelona	2019GER	0
616	2019	Real Madrid	La Liga	Karim Benzema	FRA	FW	30.0	1987.0	36.0	35.0	2953.0	32.8	21.0	6.0	18.0	3.0	3.0	1.0	0.0	0.64	0.18	0.82	0.55	0.73	https://fbref.com/en/players/70d74ece/Karim-Benzema	15.8	13.5	5.6	19.1	0.48	0.17	0.65	0.41	0.58	2019Karim Benzema	Karim Benzema	France	Real Madrid	0.0003551136363636364	2019Real Madrid	0	2019Real Madrid	2019FRA	0
617	2019	Liverpool	Premier League	Georginio Wijnaldum	NED	MF	27.0	1990.0	35.0	32.0	2725.0	30.3	3.0	0.0	3.0	0.0	0.0	3.0	0.0	0.10	0.00	0.10	0.10	0.10	https://fbref.com/en/players/eb58eef0/Georginio-Wijnaldum	2.8	2.8	1.2	4.0	0.09	0.04	0.13	0.09	0.13	2019Georginio Wijnaldum	Georginio Wijnaldum	Pays-Bas	Liverpool FC	0.0003551136363636364	2019Liverpool	1	2019Liverpool	2019NED	0
618	2019	Paris S-G	Ligue 1	Marquinhos	BRA	DF,MF	24.0	1994.0	30.0	30.0	2693.0	29.9	3.0	2.0	3.0	0.0	0.0	2.0	1.0	0.10	0.07	0.17	0.10	0.17	https://fbref.com/en/players/d5f2f82b/Marquinhos	1.2	1.2	1.9	3.1	0.04	0.06	0.11	0.04	0.11	2019Marquinhos	Marquinhos	Brésil	Paris Saint-Germain	0.0	2019Paris S-G	0	2019Paris S-G	2019BRA	1

Overview

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Most occurring characters

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Most frequent Uppercase Letter characters

Most frequent Lowercase Letter characters

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Most occurring scripts

Most frequent Latin characters

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most frequent None characters

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most occurring scripts

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Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

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Most occurring scripts

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Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

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Most frequent Decimal Number characters

Most frequent Other Punctuation characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most frequent Uppercase Letter characters

Most frequent Lowercase Letter characters

Most frequent Space Separator characters

Most frequent Other Punctuation characters

Most frequent Dash Punctuation characters

Most occurring scripts

Most frequent Common characters

Most frequent Latin characters

Most occurring blocks

Most frequent ASCII characters

Most frequent None characters

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters